Title:
FAULT FREQUENCY BAND IDENTIFICATION METHOD FOR VIBRATION SIGNAL OF SPEED REDUCER UNDER VARIABLE ROTATIONAL SPEED WORKING CONDITION
Document Type and Number:
WIPO Patent Application WO/2023/029455
Kind Code:
A1
Abstract:
A fault frequency band identification method for a vibration signal of a speed reducer under a variable rotational speed working condition, comprising: S1, acquiring a vibration signal of a speed reducer; S2, performing frequency band division by using a 1/3 binary tree, and performing FIR filtering; S3, squaring a filtered signal after Hilbert transform to obtain an envelope signal; S4, using a computed order analysis method to perform angular domain resampling on the envelope signal and performing mean removal; S5, calculating a logarithmic envelope spectrum of each envelope signal; S6, intercepting the envelope spectrum and calculating a logarithmic envelope order cyclic component; and S7, filtering an obtained optimal demodulation frequency band, i.e., the frequency band of a maximum logarithmic envelope order cyclic component value, and performing envelope order spectrum analysis. According to the fault frequency band identification method for a vibration signal of a speed reducer under a variable rotational speed working condition, bearing fault feature information can be accurately extracted in a variable rotational speed working condition environment having high impulse noise, so that the method has the advantage of high accuracy.
Inventors:
CHENG FENG (CN)
JIANG HONGYAN (CN)
YANG SHIFEI (CN)
ZHAO KEQIN (CN)
JI WEIXI (CN)
JIANG HONGYAN (CN)
YANG SHIFEI (CN)
ZHAO KEQIN (CN)
JI WEIXI (CN)
Application Number:
PCT/CN2022/082635
Publication Date:
March 09, 2023
Filing Date:
March 24, 2022
Export Citation:
Assignee:
UNIV JIANGNAN (CN)
International Classes:
G01M13/028; G01M13/045
Foreign References:
| CN113702036A | 2021-11-26 | |||
| CN113188797A | 2021-07-30 | |||
| CN113033304A | 2021-06-25 | |||
| CN110887663A | 2020-03-17 | |||
| US20190145856A1 | 2019-05-16 |
Other References:
BO LIN, ZHEN JIE; PENG CHANG; XU GUANJI: "COT-kurtogram Based Fault Features Extraction for Rolling Element Bearing Under Varying Speed", JOURNAL OF VIBRATION, MEASUREMENT & DIAGNOSIS, vol. 36, no. 4, 31 August 2016 (2016-08-31), XP093042146, ISSN: 1004-6801, DOI: 10.16450/j.cnki.issn.1004-6801.2016.04.007
"Master's Thesis", 8 April 2019, UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY, CN, article NI, QING: "Fault Diagnosis of Rolling Element Bearings Based on Optimal Demodulation Frequency Band Selection", pages: 1 - 75, XP009544139
"Master's Thesis", 8 April 2019, UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY, CN, article NI, QING: "Fault Diagnosis of Rolling Element Bearings Based on Optimal Demodulation Frequency Band Selection", pages: 1 - 75, XP009544139
Attorney, Agent or Firm:
CHANGSHADAKE INTELLECTUAL PROPERTY AGENCY (GENERAL PARTNERSHIP) (CN)
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