Title:
ROLLING BEARING CLASS IMBALANCE FAULT DIAGNOSIS METHOD AND SYSTEM
Document Type and Number:
WIPO Patent Application WO/2023/137807
Kind Code:
A1
Abstract:
A rolling bearing class imbalance fault diagnosis method and system. The diagnosis method comprises: performing variable parameter time-frequency analysis on a small number of class fault samples, and performing single parameter time-frequency analysis on a large number of class normal samples, so as to obtain a class balanced time-frequency feature data set (S10); performing feature enhancement processing by using a time-frequency attention mechanism network model to obtain a time-frequency feature enhancement data set (S20); constructing a fault diagnosis model (S30); training the constructed fault diagnosis model by using the time-frequency feature enhancement data set so as to obtain a trained fault diagnosis model (S40); and performing single parameter time-frequency analysis on a vibration signal of a bearing of which a health state is unknown, and obtaining the health state of the bearing by using the fault diagnosis model (S50). By means of the diagnosis method and system, the expanded data samples have high consistency and diversity, time-frequency analysis parameters do not need to be optimized, noise in time-frequency features can be effectively filtered out, and the accuracy of bearing class imbalance fault diagnosis is greatly improved.
Inventors:
WANG JUN (CN)
XU XUEMEI (CN)
DING CHUANCANG (CN)
SHEN CHANGQING (CN)
ZHU ZHONGKUI (CN)
XU XUEMEI (CN)
DING CHUANCANG (CN)
SHEN CHANGQING (CN)
ZHU ZHONGKUI (CN)
Application Number:
PCT/CN2022/076031
Publication Date:
July 27, 2023
Filing Date:
February 11, 2022
Export Citation:
Assignee:
UNIV SOOCHOW (CN)
International Classes:
G01M13/045
Foreign References:
| CN109902399A | 2019-06-18 | |||
| CN112649198A | 2021-04-13 | |||
| CN112304614A | 2021-02-02 | |||
| CN109799090A | 2019-05-24 | |||
| JPH07218334A | 1995-08-18 |
Other References:
BAO PING, LIU YUNJIE: "Research on Fault Identification Based on Improved Deep Model in Combination of Generative Adversarial Networks under Unbalanced Data Sets", JOURNAL OF ELECTRONIC MEASUREMENT AND INSTRUMENT, vol. 33, no. 3, 15 March 2019 (2019-03-15), pages 176 - 183, XP093080012, ISSN: 1000-7105, DOI: 10.13382/j.jemi.B1801557
WU JINGRAN, DING ENJIE; CUI RAN; LIU JIANHUA: "A Diagnostic Approach for Rotating Machinery Using Multi-Scale Feature Attention Mechanism", JOURNAL OF XI'AN JIATONGUNIVERSITY, XI'AN JIATONG DAXUE CHUBANSHE, XIAN, CN, vol. 54, no. 2, 29 February 2020 (2020-02-29), CN , pages 51 - 58, XP093080013, ISSN: 0253-987X, DOI: 10.7652/xjtuxb202002007
WU JINGRAN, DING ENJIE; CUI RAN; LIU JIANHUA: "A Diagnostic Approach for Rotating Machinery Using Multi-Scale Feature Attention Mechanism", JOURNAL OF XI'AN JIATONGUNIVERSITY, XI'AN JIATONG DAXUE CHUBANSHE, XIAN, CN, vol. 54, no. 2, 29 February 2020 (2020-02-29), CN , pages 51 - 58, XP093080013, ISSN: 0253-987X, DOI: 10.7652/xjtuxb202002007
Attorney, Agent or Firm:
CENTRAL SOUTH WELL INTELLECTUAL PROPERTY OFFICE (CN)
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