Maschinenlernvorrichtung, Isolierungszustandsdiagnosevorrichtung, Maschinenlernverfahren, Maschinenlernprogramm, Isolierungszustandsdiagnoseverfahren und Isolierungszustandsdiagnoseprogramm

Details

Veröffentlichungs-Nr.

EP4752574

Anmeldetag

30. Mai 2024

Veröffentlichung

6. Februar 2025

Rechtsraum

EP

Abstract

The present invention provides a machine learning device capable of diagnosing an insulation state of a winding without stopping a canned motor pump. A machine learning device 4 generates a training model 6 to be used by an insulation state diagnosis device 5 for diagnosing an insulation state of a winding 31 of a stator 23 used in a canned motor pump 2. The machine learning device 4 trains the training model 6 to learn a correlation between input data and information on diagnosis of the insulation state of the winding by inputting training data including at least the input data into the training model, the input data being unprocessed or at least partially preprocessed data on a voltage value and current value supplied to a motor part 20, a temperature of the winding 31 of the stator 23 or a correlated temperature, temperature difference, or pressure, and an inflow temperature and flow rate of a working fluid in a pump part 10.

Anmelder

Firma

Nikkiso Co., Ltd.

Land

🇯🇵 Japan