The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 13, 2024

Filed:

Sep. 03, 2019
Applicant:

Zhuzhou Crrc Times Electric Co., Ltd., Hunan, CN;

Inventors:

Wenlong Zhu, Hunan, CN;

Yong Liu, Hunan, CN;

Jisheng Dai, Hunan, CN;

Zongshuai Li, Hunan, CN;

Jiawei Yang, Hunan, CN;

Ping Jiang, Hunan, CN;

Yanhao Zhan, Hunan, CN;

Zhongjing Zhang, Hunan, CN;

Hailong Xu, Hunan, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G01R 19/00 (2006.01); G01M 13/045 (2019.01); G01R 23/16 (2006.01); G01R 31/34 (2020.01); G06F 18/214 (2023.01);
U.S. Cl.
CPC ...
G01M 13/045 (2013.01); G01R 19/0092 (2013.01); G01R 23/16 (2013.01); G01R 31/34 (2013.01); G06F 18/2148 (2023.01); G06F 2218/02 (2023.01); G06F 2218/10 (2023.01); G06F 2218/12 (2023.01);
Abstract

A device for diagnosing a fault in a bearing of a motor is provided. If the device operates in a fault diagnosis mode, a current signal acquisition unit acquires a real-time current signal of the motor, a residual signal acquisition unit extracts harmonic signals from the real-time current signal of the motor acquired by the current signal acquisition unit and remove a fundamental signal and a harmonic signal from the real-time current signal of the motor to acquire a residual signal, a fault feature extraction unit analyzes the residual signal in both time domain and frequency domain to extract a fault feature index of the bearing, and a fault diagnosis model unit performs, by using a bearing fault diagnosis model obtained through training, pattern recognition on the fault feature index to diagnose a fault state of the bearing.


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