Mitsubishi Electric Corporation

Mitsubishi Electric Research Laboratories, Inc.

Shen Zhang

Koon Hoo Teo

Dehong Liu

Bingnan Wang

Chungwei Lin

Makoto Kanemaru

A system for estimating a severity of a bearing fault in an induction motor, uses a set of filters and a set of quantitative models designed for a set of fault frequencies. The system, upon receiving the measurements of the stator current, extracts the first fault current from the stator current using the first filter, determine the first mutual inductance variation from the first fault current using the first quantitative model, and classify the first mutual inductance variation with the fault severity classifier to determine the severity of a first type of fault in the induction motor. Similarly, the system classifies a second type of fault using the second filter and the second quantitative model. The system outputs one or combination of the severity of the first type of fault in the induction motor and the severity of the second type of fault in the induction motor.

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Cambridge, MA, United States of America

Shen Zhang