Motor fault diagnosis method, intelligent equipment and storage medium

The a-phase negative sequence components of the voltage and current fundamental frequency signals of the asynchronous motor are obtained through fast Fourier transform, and the statistical mean of the negative sequence impedance is calculated by using convolution, which solves the problem of low diagnosis accuracy between turns short circuit faults in the prior art, and achieves higher diagnostic reliability.

CN119644141AInactive Publication Date: 2025-03-18BEIJING HUISI HUINENG TECH CO LTD +1
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Patent Information

Application Number
CN202510175119.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-18
Publication Date
2025-03-18
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In the diagnosis of inter-turn short circuit faults of asynchronous motors, the diagnostic results of the negative sequence impedance analysis method are not accurate and are greatly affected by interference factors, making it difficult to achieve the reliability of real-time online diagnosis.

Method used

The a-phase negative sequence components of the voltage and current fundamental frequency signals are obtained by fast Fourier transform, and the statistical mean of the negative sequence impedance is calculated based on convolution to improve the accuracy and reliability of the diagnosis.

Benefits of technology

This method can effectively retain the fundamental frequency fluctuation characteristics of the power grid signal, improve the extraction accuracy of negative sequence components, reduce the fluctuation of impedance calculation, and improve the reliability of inter-turn short circuit fault diagnosis.

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Abstract

The invention relates to the technical field of motors, in particular to a motor fault diagnosis method, intelligent equipment and a storage medium, and aims to solve the problem of how to accurately obtain a negative sequence component of a voltage / current fundamental frequency signal based on fast Fourier transform and spectrum leakage. And the technical problem of how to obtain the statistical mean value of the negative sequence impedance based on convolution to perform motor fault diagnosis is solved. On the basis of a three-phase voltage / current fundamental frequency signal sequence, an a-phase negative sequence component of a voltage / current fundamental frequency signal is obtained through fast Fourier transform according to frequency spectrum leakage, the fundamental frequency fluctuation characteristic of a power grid voltage / current signal can be effectively reserved, the extraction precision of the negative sequence component of the voltage / current fundamental frequency signal is improved, and the extraction accuracy of the voltage / current fundamental frequency signal is improved. Therefore, the impedance calculation is more accurate; the statistical mean value of the negative sequence impedance within the preset time length is calculated through convolution, the volatility of the negative sequence impedance calculation result is reduced, and the reliability of diagnosing the turn-to-turn short circuit fault of the motor based on the negative sequence impedance threshold value is improved.
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