- Patent Title: Fault diagnosis method under convergence trend of center frequency
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Application No.: US17414939Application Date: 2020-07-30
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Publication No.: US11644391B2Publication Date: 2023-05-09
- Inventor: Xingxing Jiang , Changqing Shen , Jianqin Zhou , Dongmiao Song , Wenjun Guo , Guifu Du , Jun Wang , Juanjuan Shi , Weiguo Huang , Zhongkui Zhu
- Applicant: SOOCHOW UNIVERSITY
- Applicant Address: CN Suzhou
- Assignee: SOOCHOW UNIVERSITY
- Current Assignee: SOOCHOW UNIVERSITY
- Current Assignee Address: CN Suzhou
- Agency: SZDC Law P.C.
- Priority: CN 1910750064.6 2019.08.14
- International Application: PCT/CN2020/105689 2020.07.30
- International Announcement: WO2021/027579A 2021.02.18
- Date entered country: 2021-06-16
- Main IPC: G06F11/30
- IPC: G06F11/30 ; G01M99/00

Abstract:
The present invention discloses a fault diagnosis method under a convergence trend of a center frequency, including: (1) acquiring a dynamic signal x(t) of a rotary machine equipment; (2) setting initial decomposition parameters of a variational model; (3) decomposing the dynamic signal x(t) by using the variational model with the set initial decomposition parameters, and traversing a signal analysis band and performing iterative decomposition on the dynamic signal x(t) under the guidance of a convergence trend of a center frequency, to obtain optimized modals {m1 . . . mn . . . mN} and corresponding center frequencies {ω1 . . . ωn . . . ωN}; (4) searching a fault related modal mI, guiding parameter optimization by using a center frequency ωI of the fault related modal mI, and retrieving an optimal target component mI including fault information; and (5) performing envelopment analysis on the optimal target component mI, and diagnosing the rotary machine equipment according to an envelope spectrum.
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