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:
May. 09, 2023

Filed:

Jul. 30, 2020
Applicant:

Soochow University, Suzhou, CN;

Inventors:

Xingxing Jiang, Suzhou, CN;

Changqing Shen, Suzhou, CN;

Jianqin Zhou, Suzhou, CN;

Dongmiao Song, Suzhou, CN;

Wenjun Guo, Suzhou, CN;

Guifu Du, Suzhou, CN;

Jun Wang, Suzhou, CN;

Juanjuan Shi, Suzhou, CN;

Weiguo Huang, Suzhou, CN;

Zhongkui Zhu, Suzhou, CN;

Assignee:

SOOCHOW UNIVERSITY, Suzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/30 (2006.01); G01M 99/00 (2011.01);
U.S. Cl.
CPC ...
G01M 99/005 (2013.01);
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 {m. . . m. . . m} and corresponding center frequencies {ω. . . ω. . . ω}; (4) searching a fault related modal m, guiding parameter optimization by using a center frequency ωof the fault related modal m, and retrieving an optimal target componentincluding fault information; and (5) performing envelopment analysis on the optimal target component, and diagnosing the rotary machine equipment according to an envelope spectrum.


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