ABB Patente

The invention discloses a plug (1) comprising a shaped part for accommodating within it at least two terminals (7), means for electrical transfer suitable for connecting with an electrical device, connecting an at least two protruding pins (9) for transferring electricity from a power supply, wherein the shaped part comprises a front section suitable for being in contact with a socket (2), wherein the least two protruding pins (9) are mounted in the front section, wherein the shaped part further comprises an electronic tag (3) configured to transmit information stored in the electronic tag (3). The invention discloses also a socket (2) for electrical connection with a plug (1) comprising a mounting box (6) accommodating at least two terminals (7), wherein the mounting box (6) comprises a face plate (5) suitable for interconnection with the plug (1) and at least two wires providing electricity, the at least two terminals (7) are mounted in the face plate and suitable for receiving at least two protruding pins (9) of the plug (1) and transferring current from the wires to the at least two protruding pins (9) of the plug (1), wherein the mounting box (6) further comprises an electronic tag reader for reading an electronic tag (3) and retrieving data and a current. Further the invention discloses a system for an identification of an electrical device comprising a plug (1) and a socket (2), a transmitting means and an evaluation means. The plug (1) is plugged in the socket (2) providing reading an electronic tag (3) by an electronic reader, thereby providing data exchange between the electronic tag (3) and the electronic tag reader. The invention further discloses a method of identification of external electrical device.

The disclosure relates to a method (100) for obtaining diagnostic data in a distributed control system, DCS, the method comprising: - (S 102) obtaining issue data, wherein the issue data is indicative of a system anomaly or fault; - (S 104) processing the obtained issue data to determine diagnostic requirements; - (S 106) identifying a kernel-instrumenting bytecode data, kiBD (41), based on the determined diagnostic requirements; - (S 108) loading and activating the identified kiBD (41), wherein activation comprises linking the kiBD (41) to a system hook; and - (S 110) obtaining diagnostic data using the activated kiBD (41).

The invention relates to a method of operating a linear motor system and to a corresponding linear motor system (1), in particular in the form of a long-stator linear motor system or a planar motor system, comprising a stator (2), on which a plurality of drive coils (4) is arranged, and comprising at least one shuttle (3), on which drive magnets (5) are arranged and which moves relative to the stator (2). An electromagnetic field, which interacts with the drive magnets (5) of the shuttle (3), is generated by energizing the drive coils (3) in the area of the drive magnets (5) of the shuttle (3). To enable a more efficient operation of the linear motor system (1) and to enhance a control of the movement of the at least one shuttle (3) on the stator (2) of the linear motor system (1), at least one drive variable (DV) is determined by a motion control unit (7) from a predefined movement profile (MP) and/or at least one predefined target value (MP) of at least one movement variable for the at least one shuttle (3) and from an actual value (IP) of the at least one movement variable for a respective time step (S101). Furthermore, the motion control unit (7) determines the respective drive coils (4) of the stator (2) to be energized and a corresponding energization (BS) of these drive coils (4) from the at least one drive variable (DV) determined for the respective time step (S103), to move the shuttle (3) corresponding to the predefined movement profile and/or according to the at least one predefined target value (MP) of at least one movement variable. The motion control unit (7) uses an Artificial intelligence method (Al) at least for determining the respective drive coils (4) of the stator (2) to be energized and a corresponding energization (BS) of these drive coils (4) for moving the at least one shuttle (4), wherein the Artificial intelligence method (Al) is provided with the at least one drive variable (DV) determined for the respective time step as an input variable (S102).

The invention relates to a method for operating a converter arrangement (20). The converter arrangement (20) comprises an electronic converter (22) for converting an input voltage from an energy source (18) into an output voltage to be provided to a load (24), at least one active filter cell (40, 42, 44) for reducing harmonic oscillations of the output voltage or of the input voltage, wherein the active filter cell (40, 42, 44) electrically couples an output terminal (28) of the electronic converter (22) with an input terminal of the load (24) or, respectively, wherein the active filter cell (40, 42, 44) electrically couples an input terminal (30) of the electronic converter (22) with an output terminal of the energy source (18), and a bypass arrangement (50, 52, 54) for bypassing a current to or from the electronic converter (22) around the active filter cell (40, 42, 44). The method comprises: receiving at least one sensor signal being representative of a danger for the electronic converter (22) because of an electric problem of the electronic converter (22); sending a protection signal to the electronic converter (22), wherein the protection signal and the electronic converter (22) are configured such that the electronic converter (22) activates protective firing upon receiving the protection signal; and sending a bypass signal to the bypass arrangement (50, 52, 54), wherein the bypass signal and the bypass arrangement (50, 52, 54) are configured such that the bypass arrangement (50, 52, 54) bypasses a current from the load (24) to the electronic converter (22) or, respectively, from the electronic converter (22) to the load (24) around the active filter cell (40, 42, 44) upon receiving the bypass signal.

A computer-implemented method (100) for estimating a level of confidence (4) of a response (3) that an artificial intelligence/machine learning model, Al/ML model (2), delivers in response to a given query (1), comprising the steps of: • obtaining (110) a representation (5) of the query (1) in a working space (6); • determining (120) a closeness (5a) of this representation (5) to one or more reference representations (8) of reference inputs (7) that are known to belong to a domain of validity, DOV (9), of the AI/ML model (2), and/or to this DOV (9) as a whole; • determining (130) the level of confidence (4) based at least in part on this closeness (5a); • and in response to the level of confidence (4) being (160) lower than a predetermined threshold: ∘ obtaining (170) feedback (3a) whether the response (3) provided by the Al/ML model (2) is correct; and ∘ if this feedback (3a) indicates (180) that the response (3) is correct, determining (190) that the representation (5) of the query (3) belongs to the DOV (9), wherein the query (1) relates (105) to at least one property of at least one industrial asset (11) in an industrial plant (10), and/or of an industrial process executed on this industrial plant (10).

The invention relates to a method, collision avoidance device, computer program and computer program product for assisting an operator in collision avoidance for a first vessel (22) traveling in a present passage along a route (OR) in a body of water as well as to such a first vessel (22). The collision avoidance device detects a risk situation for the first vessel (22) involving a possible collision with an object (30), determines a number of parallel collision avoidance schemes (CAS1, CAS2, CAS3, CAS4), presents the collision avoidance schemes (CAS1, CAS2, CAS3, CAS4) to the operator, selects one of the collision avoidance schemes, performs collision avoidance according to the selected collision avoidance scheme and displays the progress of the first vessel (22) according to the selected collision avoidance scheme together with the non-selected collision avoidance schemes.

A computer-implemented method (100) for retrieving a response (3) to a query (1) from a machine learning/artificial intelligence model, ML/Al model (2), the method (100) comprising the steps of:• providing (110) the query (1) to the ML/Al model (2), thereby obtaining an initial response (3);• determining (120), from the initial response (3), instances of concepts (5*) of a given symbolic knowledge representation (4) that the initial response (3) relates to;• marking (130), in the symbolic knowledge representation (4), each concept (5*) that the initial response (3) relates to as instantiated;• determining (140), by a reasoning engine (6), concepts (5#) of the symbolic knowledge representation (4) that, given the set of presently instantiated concepts (5*), need to be instantiated as well;• determining (150) a supplemental query (1*) for information relating at least one concept (5#) that needs to be instantiated as well; and• providing (160) this supplemental query (1*) to the ML/Al model (2), thereby obtaining a supplemental response (3*) that augments the initial response (3).

A gas-duct compartment (1004) for a switchgear cabinet (1000) is described. The gas-duct compartment (1004) includes an enclosure (10041) comprising a sidewall structure (10042) having a length (L) extending along a vertical axis (V-V") of the switchgear cabinet (1000). The sidewall structure (10042) is defined with a first end (FE) and an open second end (SE). A roof panel (10043) being structured to encompass the first end (FE) of the sidewall structure (10042). The enclosure (10041) being defined with one or more vents (10044) in at least one of the sidewall structure (10042), or a space defined in the roof panel (10043). The gas-duct compartment (1004) further includes a filter element (10046) being structured to be disposed at the one or more vents (10044).

The invention is concerned with a method, command adjustment device, computer program and computer program product for compensating imprecise user input in the maneuvering of a vessel as well as a vessel control system and a vessel comprising a command adjusting device. The device detects the environment of the vessel (22), determines at least one distance (d1, d2) to an object (38) in the environment of the vessel (22) as the vessel is operated using at least one control command originating from an operator of the vessel, where each distance is related to a corresponding point (P1, P2) on the vessel (22), analyses the at least one distance, determines, based on the analysis, at least one compensation (SC, VOC) for the at least one control command, and provides the at least one control command compensation for use in the operation of the vessel (22) being performed by the operator.

An apparatus comprising a set of teeth located on a strap and a head (120, 220) located on a head (120, 220) portion of the strap. The head (120, 220) includes a pawl (122, 222) having at least one tip configured to fasten the strap to the head (120, 220) portion of the strap when engaged with the set of teeth on the strap and a protrusion (526) that is movably coupled to the head (120, 220) and that extends beyond a bottom surface (221) of the head (120, 220).

The disclosure relates to a computer-implemented method, comprising:- obtaining training data (2) from an operation of an industrial process plant;- training, using the training data (2), a machine learning model (1) for assisting a plant operation of the industrial process plant;- determining several sub-populations (3) in the training data (2), each one of the sub-populations (3) relating to a different scenario of an operation of the industrial process plant;- determining several performances of the machine learning model (1), each one of the performances relating to a different sub-population (3);- determining, based on the performance of each one of the sub-populations (3), one or more underrepresented sub-populations (4), which are underrepresented in the training data (2) compared to other sub-populations (3) in the several sub-populations (3); and- revising, based on the one or more underrepresented sub-populations (4), the machine learning model (1) for increased consideration of the one or more underrepresented sub-populations (3) when assisting the plant operation of the industrial process plant.

The computer-implemented method for aggregating outputs of multiple language models involves several steps. It determines calibration information of each of the multiple LMs using at least one calibration question; obtains, from each of the multiple LMs, an original answer based on an original question; obtains, from each of the multiple LMs, an estimation answer based on an estimation question using the determined calibration information, wherein the estimation question asks for a most popular answer to the original question among the multiple LMs; and determines a predicted answer to the original question by aggregating sets of same original answers and same estimation answers.

The present invention relates a lightning conductor clip comprising: a base (1) having connecting parts (4) at its opposite sides; a lid (2) having complementary connecting parts (3) at its opposite sides; fixing means (5) for joining the base (1) and the lid (2) together at the connecting parts (4) and the complementary connecting parts (3), wherein the connecting parts (4) and the complementary connecting parts (3) a gap (6) is formed such that the lid (1) undergoes elastic deformation or elastic and plastic deformation in the given order, when clamping force is applied to the fixing means (6) causing the connecting parts (4) and the complementary connecting parts (3) to come closer, thereby increasing a contact surface between the lid (2) and the conductor element (8, 9).

The invention provides a computer-implemented method for industrial plant event handling comprising an analytics component employing pattern and/or correlation analysis and/or trend analysis and/or anomaly detection to: in response to an alert being triggered by a Security Information and Event Management, SIEM, system, assess a likelihood of the alert being based on a false positive determination; and/or in response to an alert being triggered by the SIEM system, intervene in the processing of the alert by the SIEM system; and/or in response to an alert being triggered by the SIEM system, provide context information relevant for the alert to a user; and/or propose to a user and/or deploying, autonomously or in response to user confirmation, an update for an alert detection rule of the SIEM system, based on one or more of: current alert information; control system information; historical alert information.

The present disclosure relates to field of electrical engineering that discloses method, tail current detection unit and an Intelligent Electronic Device (IED) comprising the tail current detection unit for detecting tail current in CT. The tail current detection device obtains real-time current values of current flowing. Further, tail current detection unit determines instant time constant (K<t>). Thereafter, tail current detection unit determines deviation value (ΔK<t>) by using pair of consecutive time constants. Furthermore, tail current detection unit compares deviation value (ΔK<t>) with predefined deviation threshold. Thereafter, based on comparison, tail current detection unit performs one of, incrementing counter each time when deviation value (ΔK<t>) is less than predefined deviation threshold in consecutive time instances and resetting counter to zero when deviation value (ΔK<t>) is greater than predefined deviation threshold. Finally, tail current detection unit detects presence of tail current in CT when counter exceeds predefined count threshold. Present disclosure provides advantage of avoiding false alarms due to tail current.

The present disclosure relates to a voltage transformer and a switchgear. A voltage transformer (1) comprises: a housing (10); a connection terminal (11) configured to be electrically connected to a first voltage of a first voltage side; a fuse assembly (12) comprising a fuse (121), a first end of the fuse (121) being electrically connected to the connection terminal (11); a coil set (13) electrically connected to a second end of the fuse (121) and configured to output a second voltage for a second voltage side based on the first voltage, the second voltage being different from the first voltage; wherein both the connection terminal (11) and the coil set (13) are positioned in the housing (10) adjacent to a first side (101) of the housing (10), and the fuse assembly (12) is positioned in the housing (10) adjacent to a second side (102) of the housing (10) opposite to the first side.

There is disclosed a method for automating a process of error diagnosis of an industrial drive product in an industrial context. The method comprises obtaining (S610), by a generative artificial intelligence, Al, agent, a notification that is associated with an error occurred at the industrial drive product; retrieving (S620), by the generative Al agent, a plurality of pieces of information from one or more data sources, wherein the plurality of pieces of information is associated with the industrial drive product; determining (S630), by the generative Al agent and for a piece of information of the plurality of pieces of information, a relevance in relation to the error; for pieces of information of the plurality of pieces of information that are determined to have a relevance above a predetermined relevance threshold, augmenting (S640), by the generative Al agent, the pieces of information; and generating (S650), by the generative Al agent, a proposal for handling the error based on the augmented pieces of information.

A recommendation indicating an action to be performed to avoid a failure in a rotating equipment, and when the action is be performed, is generated based on an estimated duration how long it will take until a fault evolves to a failure and at least one operating parameter of the rotating equipment. The duration may be estimated using predicted values obtained using a model trained for predicting evolve-ment of values of a first group of key performance indicators in an operating group the rotating equipment belongs to, the model outputting predicted values for the first group of the key performance indicators, the input to the model being measurement data obtained from the rotating equipment.

There is provided a method for making a power origin label trustworthy and verifiable in an industrial context, the method comprising: obtaining the power origin label that carries information about one or more power origins of power used for production of a product; and adding, to the power origin label, a reference to metadata that provides evidence for the information about the one or more power origins.

There is provided a method for enabling power origin labeling processing with increased security in an industrial context. The method comprises: providing, at a device configured to generate power origin labels, a hardware-protected storage for storing signing keys that are bound to the device and that are to be used by a power origin labeling algorithm for calculating the power origin labels; providing, at the device, a trusted execution environment, TEE, for the power origin labeling algorithm to be implemented and/or executed in the TEE; and providing, at the device, a remote attestation mechanism for an external party to verify the power origin labeling algorithm and/or the device.

The present invention relates to a knowledge graph generation system (100), comprising:- an input unit (20); and- a knowledge graph generator (10);wherein the input unit is configured to receive a plurality of service reports, wherein each service report comprises natural language;wherein the input unit is configured to provide the plurality of service reports to the knowledge graph generator;wherein the knowledge graph generator is configured to implement a Large Language Model (LLM);wherein the knowledge graph generator is configured to utilize the LLM to identify entries from the natural language in the plurality of service reports, wherein the identified entries comprise names and types of instruments, issues that need to be addressed for those instruments, and actions taken by service technicians to mitigate the issues;wherein the knowledge graph generator is configured to utilize the identified entries to form a plurality of rules, wherein each rule comprises a tuple of one instrument type, one issue, and an action step or series of action steps taken to mitigate the issue;wherein the knowledge graph generator is configured to utilize the plurality of rules to generate a plurality of knowledge graph nodes, wherein each instrument type, issue, and action step are transformed into separate knowledge graph nodes; andwherein the knowledge graph generator is configured to utilize the plurality of knowledge graph nodes to generate a knowledge graph, the generation comprising forming a plurality of node groups, wherein each node group comprises a plurality of knowledge graph nodes that are linked together.

A method (100) for generating a configuration (11) for a given building automation system (1) with a given plurality of assets (2-5), and/or for at least one asset (2-5) of said plurality of assets (2-5), the method (100) comprising the steps of: • providing (110) a set of requirements (7) that characterize a habitable state of the interior of the building (6); • providing (120) context information (8) about one or more available assets (2-5) of the building automation system (1), the context information (8) comprising at least one or more inputs accepted by the respective assets (2-5) on the one hand, and one or more outputs and/or capabilities delivered by the respective asset (2-5) on the other hand; • deriving (130), from the set of requirements (7), a set of one or more queries (9), said one or more queries (9) relating to achieving the respective requirement (7) using one or more of the given assets (2-5); • providing (140) the one or more queries (9) and the context information (8) to a generative machine learning model, GMLM (10); and • deriving (150), from one or more outputs (10*) of the GMLM (10) obtained in response to the one or more queries (9), ∘ one or more configuration settings (11a) for at least one of the given assets (2-5); and/or ∘ one or more instructions (11b) to provide one or more outputs of one or more first assets (2-5) as inputs to one or more second assets (2-5); and/or o an amendment (11c) to already existing logic for operating the given asset (2-5); and/or ∘ logic and/or software (11d) for operating the given asset (2-5) as the sought configuration information (11).

A method and a system for power system state estimation are provided. The system can include one or more processors and a memory storing computer instructions, which when executed cause the system to a system can comprise one or more processor and a memory storing computer instructions. The computer instructions, when executed by the one or more processors, can cause the one or more processors to acquire, from remote terminal units, measurement data of a plurality of parameters of a power system, acquire network topology data of the power system, and determine estimates of a plurality of states of the power system using the measurement data, the network topology data and a semi definite relaxation formulation. The semidefinite relaxation formulation can include a convex lower bound approximation of a rank function of an augmented state matrix.

An improved surge protection device (1) is provided, the surge protection device (1) having a detection unit (2) for generating a detection signal (d) indicative of the occurrence of an energy rich pulse caused by an electrical surge in an electrical power system (10), a bypass unit (3) with a bypass path (34) to, depending on the detection signal (d), bypass the pulse, and an absorption unit (4) to arrest the pulse after the pulse has been bypassed through the bypass unit (3).

A redundant network switch (2) for an Ethernet network (1), comprising: • at least a first uplink port (3a) and a second uplink port (3b) that are connectable to an Ethernet network (1); • a plurality of downlink ports (4a-4j) that are connectable to end devices (5a-5g), so as to provide these end devices (5a-5g) with connectivity to the Ethernet network (1); and • at least a first switching component (6a) connected at least to the first uplink port (3a) and a second switching component (6b) connected at least to the second uplink port (3b), wherein each downlink port (4a-4j) is connected to at least one of the first switching component (6a) and the second switching component (6b), wherein each of the first switching component (6a) and the second switching component (6b) is configured to, upon receiving an Ethernet frame from an uplink port (3a, 3b) or from a downlink port (4a-4j), forward this Ethernet frame to an uplink port (3a, 3b) or downlink port (4a-4j) that leads towards the destination of this Ethernet frame.

There is disclosed a method for training and using a ML model on customer engineering data with increased customer privacy preservation in an industrial context. The method comprises, in a training phase of the ML model: obtaining the customer engineering data from customer project data associated with a customer; training the ML model on the customer engineering data by using federated ML; and applying customer privacy preservation mechanisms on information inferred by the ML model. The method further comprises, when using the ML model for inference: verifying, by using an Entailment Checking method, that the information inferred by the ML model and determined by the ML model to be associated with the customer were obtained from the customer project data.

A method (100) for configuring at least one electric drive (1) that is connectable to at least one electric motor (2), and/or the electric motor (2), the method (100) comprising the steps of:• providing (110) a request (3) for configuring the electric drive (1) and/or electric motor (2) to at least one agent software component (4);• decomposing (120), by the at least one agent software component (4), the task of configuring the electric drive (1) and/or electric motor (2) into a sequence (5) of sub-actions (5a-5f); and• causing (130), by the at least one agent software component (4), the performing of each sub-action (5a-5f), so that completing all sub-actions (5a-5f) results in the electric drive (1) and/or electric motor (2) being at least partially configured.

A cycloidal marine propulsion system with a rotating wheel for receiving a plurality of blades, a rotor element configured to receive a torque for rotating the rotating wheel, and an adapter ring is provided. The rotor element comprises a rotor of an electric motor or a gear ring. The adapter ring is separably connected to the rotor element and separably connected the rotating wheel.

A motor drive system optimizing a restricted pulse modulation schedule includes a six-phase motor has a stator with a plurality of stator phase windings separated by 30 electrical degrees such that each of the six stator phases is interleaved. A power supply supplies current to inverter(s) for the motor. The inverter has a plurality of logic gates connecting the inverter to the plurality of stator phase windings. A controller is configured with an incident energy threshold manipulates the plurality of logic gates to transmit pulse-width modulation current to the plurality of stator phase windings such that the inverter supplies current to the motor to satisfy an output requirement of the six-phase motor. The controller restricts the current to the plurality of stator phase windings such that a common mode voltage to the stator is at or below the incident energy threshold.

It is disclosed a computer-implemented method for obtaining, for industrial applications, foundation model functionalities for time series data of operational processes with industrial context information, the method comprising: transforming the time series data of operational processes associated with at least a first industrial plant into a sequence of time units associated with respective pieces of the operational processes; attaching time units of the sequence of time units with the industrial context information, wherein pieces of the industrial context information are associated with the pieces of the operational processes and wherein the time units are attached with concurrent pieces of the industrial context information; obtaining by means of a tokenization method a sequence of context tokens from the attaching, wherein one context token represents one time unit to which concurrent pieces of the industrial context information are attached; training a generative AI model on the sequence of context tokens using a loss function; and using the trained generative AI model having the foundation model functionalities for at least one of: i) finetuning the trained generative AI model for a second industrial plant different from the first industrial plant and ii) forecasting a further progression of an operational process for the second industrial plant.

A rotor for an electric machine comprising a rotor core having a plurality of rotor sheets (RS1), each of the plurality of rotor sheets (RS1) comprising a plurality of flux guide sections, each of the plurality of flux guide sections comprising a plurality of flux paths (P1, P2, P3, P4) and a plurality of flux barriers (B1, B2, B3, B4). In a first flux guide section (FG1) one of the plurality of flux barriers has a bridge (BR1, BR2) interrupting the flux barrier and another of the plurality of flux barriers does not have a bridge (BR1, BR2). In a second flux guide section (FG2) said one of the plurality of flux barriers does not have a bridge (BR1, BR2) interrupting the flux barrier and said another of the plurality of flux barriers has a bridge (BR1, BR2).

A method for selecting and/or configuring a drive device for a rotational electric machine, particularly upgrading and/or modernizing an existing drive device, includes obtaining (101) characteristic data of the rotational electric machine, the characteristic data including one or more of a type code, a service history, a field of application, a motor parameter; determining (102) a parametrization for the rotational electric machine based on the characteristic data, the parametrization including one or more of a rated speed, a maximum speed, a rated torque, a maximum torque, a continuous use indicator; and selecting and/or configuring (110) the drive device based on the parametrization.

The present invention relates to a residual current device (500) for low-voltage electrical systems. The residual current device (500) comprises:- a detection stage (2) that, in operation, is coupled to an electric line (100), wherein said detection stage (2) is configured to detect a residual current in said electric line (500) and provide a detection signal (V(t)) indicative of said residual current;- an electronic stage configured to receive and process said detection signal;The electronic stage (3) comprises a signal processing unit (30) configured to process said detection signal (V(t)) and, possibly, determine whether the electric line is subject to an earth leakage fault. According to further aspects, the present invention relates to a method for detecting a residual current in an electric line (100) and a method for determining the presence of an earth leakage fault in an electric line (100).

A converter assembly comprising: a frame (2); a plurality of electrical components mounted on the frame (2), wherein the plurality of electrical components includes an electrical converter; a converter connector system mounted on the frame (2), wherein the converter connector system includes at least one input connector (61) and at least one output connector (62); and a cabling wall (8) comprising a plurality of cabling apertures (85). Each of the cabling apertures (85) extends through the cabling wall (8) in a longitudinal direction and is adapted for receiving a cable (10). The converter assembly comprises a cabling module (12) adapted to be removably fastened to the frame (2) into an operational position, wherein the cabling module (12) comprises the cabling wall (8).

A bearing unit for an azimuthing propulsion unit, an azimuthing propulsion unit including a bearing unit, and a method for supporting shafts in an azimuthing propulsion unit is described. The azimuthing propulsion unit includes a rotatable inner shaft and a rotatable outer shaft. The bearing unit includes a bearing arrangement including axial bearings for the inner shaft and the outer shaft; and a bearing housing for housing the bearing arrangement and the parts of the inner shaft and the outer shaft to be supported by the bearing arrangement; wherein the bearing arrangement is configured for allowing a transfer of axial forces between the outer shaft and the inner shaft.

The invention relates to a design of a plurality of shafts of a non-drive end of an azimuthing propulsion unit with a plurality of propellers. The design is at least partially based on a slit design of a least some of the shafts on the on the non-drive end of the azimuthing propulsion unit. The design enables the mounting of the shafts in combination with other parts such as bearing, slip rings or an electric motor of the azimuthing propulsion unit.

According to an embodiment, an azimuthing propulsion unit is described. The azimuthing propulsion unit comprises a rotatable drive end (DE) shaft, a DE outer bearing arranged between the DE shaft and the DE outer bearing housing, wherein the DE outer bearing is configured to be displaced, and wherein the DE outer bearing comprises outer bearing pads, and a DE outer distal seal, wherein the DE outer distal seal is configured to be accessed from within the azimuthing propulsion unit.

A marine propulsion unit with a slip-ring cooling system and a contra rotating motor having an inner rotor and an outer rotor, comprises a slip-ring housing and a slip-ring assembly arranged within the slip-ring housing, wherein the slip-ring assembly comprises at least one slip-ring element being in contact to the outer rotor. The marine propulsion unit further comprises an air channel arrangement comprising a first position being connected to the slip-ring housing and a second position. An air fan device is configured to generate a cooling airflow that flows from the first position to the second position of the air channel arrangement creating a negative pressure within the slip-ring housing and an outflow filter unit arranged at the second position of the air channel arrangement for filtering the cooling airflow exiting the air channel arrangement.

Presented is a pod propulsion unit 1 comprising a housing (2), a support arm (3), a propeller shaft (5) that is rotatable supported within the housing by means of at least a first bearing arrangement (6) having a first bearing housing (7), first fastening means (11) for fastening the first bearing housing (7) to the housing (2). The first bearing housing (7) and the housing (2) are spaced apart from one another by means of a first electrical insulation arrangement (13) arranged between the first bearing housing (7) and the housing (2) and configured to electrically insulate the first bearing housing (7) from the housing (2). The first electrical insulation arrangement (13) comprising first ceramic insulators (42), and the first ceramic insulators (42) contacting the first bearing housing (7) and the housing (2) so as to space apart the first bearing housing (7) and the housing (2) from one another.

An electric switch comprising: a frame (2); a first stationary contact (41); a roll element (6) rotatable relative to the frame (2) around a first rotation axis (51) between a first position and a second position; and a first movable contact (18) rotatable relative to the frame (2) around a second rotation axis (52) between a first position and a second position. The electric switch (200) comprises an actuator member (62) stationarily fixed to the roll element (6), wherein the actuator member (62) is adapted to move the first movable contact (18), wherein the second rotation axis (52) is spaced apart from the first rotation axis (51), and wherein the actuator member (62) is adapted to move the first movable contact (18) such that a rotation angle of the first movable contact (18) is greater than a rotation angle of the roll element (6).