GE Aviation Systems LLC Patente

A handheld mobile device (104) may be configured for use within a cockpit or cabin of an aircraft (100). The handheld mobile device (104) may include a display (1004) and memory (1008, 1010) that includes an application configured to utilize the display. The handheld mobile device (104) may also include a processor (1002) coupled to the memory (1008, 1010). The application, via the processor (1002), may be configured to receive aircraft-specific configuration data. The application may also receive, from a tracker module (108), input data corresponding to blade height and position. The application may additionally receive airframe vibration data from an accelerometer module (112). The application may further calculate recommendations regarding track and balance. The application may also further output, via the display (1004), the track and balance recommendations.

A modular power distribution assembly (25) includes a frame (80) defined by a first set of parallel supports (81) and a second set of parallel supports (82), the second set of parallel supports (82) connecting the first set of parallel supports (81), the frame (80) defining a generally planar assembly defining a first side (91) and a second side (92) opposite the first side (91), as well as a set of components (41, 74) extending from a side (91, 92) of the frame (80) and operably coupled to the frame (80). The set of components (41, 74) includes a set of power modules (26, 28).

A proximity sensor (200) comprises a reference inductor (L21), a first set of sensor inductors (L22, L23, L24), a first set of comparators (U22, U23, U24), each comparator of the first set of comparators corresponding to one of the sensor inductors of the first set of sensor inductors, and an alternative current voltage source (V21) to output a sinusoidal voltage to the reference inductor and each of the sensor inductors. Each comparator of the first set of comparators (U22, U23, U24) receives a voltage across the reference inductor (L21) as a reference voltage and each comparator of the first set of comparators (U22, U23, U24) receives a voltage across a corresponding sensor inductor (L22, L23, L24) as an input voltage.

A component (52), (54) for an electrical machine (14) includes an annular body (105), (113) having a set of slots (106), (111) extending axially along a periphery of the body (105), (113). A support block (131) having an elongate body (133) defining a first bore (135) extending axially therethrough is disposed within a respective slot (106), (111). A first electrically conductive winding (90), (109) is disposed to extend axially through the first bore (135).

An apparatus for a sensor for monitoring the health of an electric power train (12) is disclosed herein. A camera (100) includes a camera housing (202) having an imaging end (208) with an end wall (210). A lens (220) positions at or within the end wall (210) and an air circuit (230) passing through the end wall (210) and positioned to direct a supply of air (A) along or at the lens (220). The camera (100) images the electric power train (12) or electric machine (56) to determine the health of the electric power train (12).

A method (500) for monitoring the health of an electric power train (12) or electric machine (56, 120) thereof are disclosed herein. The method (500) includes imaging (508) a rotor (124) at a start of a spin down process to determine a first rotor temperature, and imaging (510) the rotor (124) at an end of or after the spin down process to determine a second rotor temperature to determining a rotor temperature reduction. A maximum rotor temperature can be determined as a summation of the temperature after the spin down process and the rotor temperature reduction, which can be used to indicate health of the electric power train (12) or electric machine (56, 120).

A method (400) for monitoring the health of an electric power train (12) is disclosed herein. The method of monitoring the health of the electric power train (12) includes, detecting partial discharge (404) within the electric power train (12) with a partial discharge sensor (102), imaging (406) the electric power train (12) with a camera (100) to generate an image, comparing (408) the detected partial discharge with a partial discharge threshold, comparing (410) the image of the electric power train (12) to a threshold representation, and determining (412) the health of the electric power train (12) based upon the detection of partial discharge and the image of the electric power train (12).

A system (100) and a method (700) for estimating a position (510) of an object (170). The object (170) includes a gradiometer (110). The method (700) includes calculating a gravity vector (270) using a gravity spatial derivative (210) generated by the gradiometer (110) and a plurality of body velocities (220) generated by a body velocity source (120), calculating a gravity potential (430) based on the gravity vector (270), and estimating an inertial measurement unit (IMU)-based position (250) of the object (170) using the gravity vector (270), a body acceleration (230), and a body attitude (240). The IMU (130) generates the body acceleration (230) and the body attitude (240). The method (700) includes estimating a gravity vector-based position (310) of the object (170) using the gravity vector (270) and estimating a gravity map-based position (410) of the object (170) using the gravity potential (430) and one or more gravitational maps (440). The method (700) estimating a position (510) of the object (170) based on the IMU-based position (250), the gravity vector-based position (310), and the gravity map-based position (410). The method (700) includes outputting the position (510) of the object (170) to an output device (150).

Systems (124), methods (700), and other embodiments described herein relate to maintaining the integrity of data transmitted via a time-sensitive network (TSN) end system (124). In one embodiment, a method (700) includes, in response to receiving a data message (314) from an application (512), forming an integrity-enhanced TSN data message (344) by appending an integrity field (330, 332, 334, 336) to the data message (314). The integrity field (330, 332, 334, 336) is at least one or more of a timestamp (320), a checksum (322), a source identifier (324), and a sequence value (326). The method (700) includes transmitting the integrity-enhanced TSN data message (344) to a physical layer (310) via a TSN end system protocol stack (300). The TSN end system protocol stack (300) includes at least one or more of an application interface layer (302), a middleware layer (304), a network stack layer (306), and a TSN end station (308).

A composite airfoil assembly (100) and method of forming includes a spar assembly (120) with a spar core (126) and a spar fiber layer (128) at least partially surrounding the spar core (126), as well as a root assembly (130) with a sleeve assembly (127) carrying a set of spaced wedges (135) defining at least one slot (136) configured to receive a first end (121) of the spar assembly (120).

A method of decentralized collaborative target searching, target tracking, or both, includes initializing a probability distribution over a probabilistic search area (100) with an a priori probability distribution of target locations (302), transmitting the probability distribution to a plurality of vehicles (102A, 104A, 106A, 200, 304), capturing, using a plurality of sensors (304A) on the plurality of vehicles (102A, 104A, 106A, 200, 304), sensor data relating to locations of a target, updating the a priori probability distribution (302) based on the sensor data or based on data observations (600) outside of the plurality of vehicles (102A, 104A, 106A, 200, 304), or both, to provide an updated probability distribution, determining optimal trajectories (102, 104, 106) for the plurality of vehicles (102A, 104A, 106A, 200, 304) using the updated probability distribution and using an ergodic principle to define optimality and based on each vehicle (102A, 104A, 106A, 200, 304) of the plurality of vehicles (102A, 104A, 106A, 200, 304) calculating its own optimal trajectory (102, 104, 106) to enable decentralized calculations, and detecting or tracking, or both, the target based on the determining of the optimal trajectories (102, 104, 106).

A power distribution system (11), (111) for an aircraft (10), and method (400) of operating includes, including determining, by a supplemental electrical power system (30), an operating mode of the aircraft (10), selecting, by the supplemental electrical power system (30), at least one supplementary power source (34a), (34b), (34c) of a set of at least two supplementary power sources (34), and at least one of receiving, by the selected at least one supplementary power source (34a), (34b), (34c), a first current (51) from the primary power bus (23), or selectively providing a second current (52) to the primary power bus (23) from the selected at least one supplementary power source (34a), (34b), (34c).

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A method (200, 300) and apparatus (190) for forming a rotor (52) for an electric machine includes serially adding (202) layers (171, 172, 173, 174) of material to form a rotor body (100) (100) having a radially-extending post (108) configured to receive a set of electrically-conductive windings (115), and also having a radially-extending winding end turn support (161, 162) formed contiguously from the rotor body (100).

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Systems and methods for control of vehicles are provided. A computer-implemented method in example embodiments may include receiving (502), at a computing system comprising one or more processors positioned in a vehicle, voice data from one or more audio sensors positioned in the vehicle. The system can determine (504) whether configuration of a reference voiceprint for a speech processing system of the vehicle is authorized based at least in part on performance data associated with the vehicle. In response to determining that configuration of the reference voiceprint is authorized, a first reference voiceprint based on the reference voice data can be stored (508) and the speech processing system configured (510) to authenticate input voice data for a first set of voice commands based on the reference voiceprint.

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A method of performing fault isolation for an aircraft comprises identifying a fault that occurs during a flight of the aircraft; identifying a first set of parameters associated with the aircraft based on the identification of the fault; automatically determining values of the first set of parameters to obtain a first set of measured values; determining whether the first set of measured values are within acceptable ranges; and identifying a source of the fault based on the determination of whether the first set of measured values are within the acceptable ranges.

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