A method and system for diagnosing rotor cage faults of an asynchronous motor by fusing electrical mechanism models, and a medium

By integrating the electromagnetic force-vibration response mapping with the electrical mechanism model, a deep fusion mechanism of electrical quantities and vibration quantities is established, which solves the problem that a single signal source is easily interfered with in the fault diagnosis of asynchronous motor rotors, and realizes high accuracy and reliability of fault identification under complex working conditions.

CN121859116BActive Publication Date: 2026-05-19CEIEC ELECTRIC TECH +1
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Patent Information

Application Number
CN202610303888.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-03-13
Publication Date
2026-05-19
Estimated Expiration
2046-03-13

AI Technical Summary

Technical Problem

Existing technologies struggle to accurately identify rotor faults in asynchronous motors under complex operating conditions, especially since rotor faults are often difficult to detect and have weak early signs, leading to insufficient reliability of diagnostic results.

Method used

By collecting the three-phase stator voltage, three-phase stator current and operating speed of the motor, a set of vibration fault characteristic frequencies is established, the predicted value of vibration fault characteristics and the measured waveform coefficient are calculated, a fault feature vector is constructed, and the electromagnetic force-vibration response mapping is fused using an electrical mechanism model to determine whether the motor has a fault.

Benefits of technology

It improves the accuracy and robustness of rotor fault diagnosis, can effectively distinguish the effects of load fluctuations and power grid disturbances, adapts to special working conditions such as variable frequency drive and pole changing operation, and has good technical scalability and multi-working-condition adaptability.

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Abstract

The application relates to an asynchronous motor rotor cage fault diagnosis method and system based on a fusion electrical mechanism model, and a medium, the method comprising: collecting three-phase stator voltage, three-phase stator current and running speed of an asynchronous motor to be monitored; preprocessing the three-phase stator voltage, three-phase stator current and running speed; and establishing a vibration fault characteristic frequency set; using a preset strategy to calculate vibration fault characteristic prediction values corresponding to all frequency points in the vibration fault characteristic frequency set, wherein the vibration fault characteristic prediction values comprise vibration displacement prediction values of a measuring point at each frequency point in the characteristic frequency set, and a vibration base value generated by motor main magnetic flux; calculating a predicted waveform coefficient of the cage fault according to the vibration displacement prediction values and the vibration base value; constructing a fault characteristic vector; comparing the fault characteristic vector with a preset fault region; and determining whether the motor has a fault according to a comparison result. The application improves the accuracy and robustness of motor fault diagnosis.
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