A multi-signal fusion permanent magnet motor inter-turn short circuit fault diagnosis method

By using a multi-signal fusion method to collect and analyze motor current, vibration, and back EMF signals in real time, the problem of high false negative rate in the diagnosis of inter-turn short circuit faults in permanent magnet motors in existing technologies has been solved. This enables accurate identification and timely handling of early faults, reducing the risk of motor damage and maintenance costs.

CN121091145BActive Publication Date: 2026-08-07CRRC YONGJI ELECTRIC CO LTD
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Patent Information

Application Number
CN202511188537.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-08-25
Publication Date
2026-08-07
Estimated Expiration
2045-08-25

AI Technical Summary

Technical Problem

Existing technologies rely solely on motor current to diagnose inter-turn short-circuit faults in permanent magnet motors. In particular, early-stage short-circuit fault diagnosis has a high false negative rate and requires significant computing power, making it difficult to achieve efficient diagnosis under complex operating conditions.

Method used

A multi-signal fusion method is adopted to collect the three-phase current, three-phase line voltage and radial vibration acceleration signals of the bearing end cover load-bearing area of ​​the motor in real time. Through FFT transformation and feature extraction, combined with the characteristic indicators of current, vibration and back EMF signals, multi-dimensional diagnosis of turn short is realized.

Benefits of technology

It improves the accuracy and timeliness of inter-turn short circuit fault diagnosis, reduces missed and false alarms, lowers maintenance costs, and extends motor lifespan.

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Abstract

The application discloses a kind of multi-signal fusion's permanent magnet motor turn-to-turn short-circuit fault diagnosis method, to solve the prior art from motor current to diagnose turn short, especially for early turn short diagnosis, the probability of false negative is big technical problem, belongs to motor turn-to-turn short-circuit fault diagnosis technical field.The application respectively real-time acquisition motor three-phase current, three-phase line voltage, bearing end cap load area radial vibration acceleration signal in the process of motor operation, specific method includes the following steps Step one, current fault feature extraction;Step two, vibration fault feature extraction;S21, vibration spectrum fault feature extraction;S22, vibration envelope spectrum fault feature extraction;S23, vibration fault feature flag calculation;Step three, turn short online feature flag calculation;Step four, judge whether to open counter electromotive force feature calculation;Step five, counter electromotive force fault feature extraction;Step six, final diagnosis of motor turn short.
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