First patent:

Name: Asynchronous motor bearing fault detection method?

Application (patent) number: CN200710061633.3? Application date: 2007.03. 28?

Public (announcement) number: CN101034038? Public (announcement) date: 2007.09.12?

Main classification number: G01M13/04 (2006.01)? Category classification:?

Classification number: G01M13/04(2006.01); G01R31/34(2006.01)?

Priority:?

Applicant (patent right): North China Electric Power University;?

Address: No. 619, Yonghua North Street, Beisheng District, Baoding City, Hebei Province, 071003?

Country and Province Code: Hebei; 13?

Invention (Design) ) Person: Xu Boqiang; Sun Liling?

International application:?

International publication:?

National entry date:?

Patent agency Institution: Shijiazhuang Jike Patent and Trademark Office Co., Ltd.?

Agent: Li Xianmin; Gao Ximing?

Divisional application number:?

Issue date: ?

Abstract:

A method for detecting asynchronous motor bearing faults, which belongs to the field of detection technology and is used to solve the problem of online detection of initial faults of asynchronous motor bearings. The technical solution is: it performs continuous refinement Fourier transformation on the collected stator current instantaneous signal is to obtain its fundamental wave, the reference signal us, and then performs an automatic transformation on the stator current instantaneous signal is based on the reference signal us and its frequency f1. Adapt filtering, then perform continuous refinement Fourier transform on the filtered output signal eT, determine the ratio of the current |f1±mfv| side frequency component and the amplitude of the fundamental wave component and use it as the fault feature, and finally determine the fault index according to the detection threshold , determine whether there is a bearing failure based on the failure index. The invention can detect incipient bearing faults of various asynchronous motors online with high sensitivity and high reliability.

Sovereign item:

1. A method for detecting bearing faults in asynchronous motors, characterized by performing continuous refinement Fourier transform on the collected stator current instantaneous signal is , obtain its fundamental wave, that is, the reference signal uS, and then adaptively filter the stator current instantaneous signal is according to the reference signal uS and its frequency f1, and then perform continuous refinement Fourier transform on the filtered output signal eT to determine the current |f1± mfv|The ratio of the edge frequency component to the amplitude of the fundamental component is used as the fault feature. Finally, the fault index is determined based on the detection threshold, and the bearing fault is determined based on the fault index. ?

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