Title:
FAULT DIAGNOSIS METHOD EMPLOYING ENHANCED MODULATION SIGNAL BISPECTRUM ANALYSIS FOR ROLLING BEARING
Document Type and Number:
WIPO Patent Application WO/2020/057066
Kind Code:
A1
Abstract:
A fault diagnosis method employing enhanced modulation signal bispectrum analysis for a rolling bearing, proposed to address the drawback of modulation signal bispectrum analysis in which Gaussian noise can be suppressed in theory, but the analysis cannot address non-Gaussian noise. The method specifically comprises: measuring a vibration signal of a rolling bearing under test by means of a vibration sensor; performing noise reduction processing on the obtained vibration signal according to an AR model, and obtaining a reduced-noise vibration signal; and performing MSB separation on the reduced-noise vibration signal to obtain modulation components, and extracting a fault characteristic frequency. The fault diagnosis method employing enhanced modulation signal bispectrum analysis for a rolling bearing effectively extracts weak characteristic information of a faulty bearing amidst high background noise, thereby facilitating early fault detection of bearings.
Inventors:
ZHEN DONG (CN)
GUO JUNCHAO (CN)
GU FENGSHOU (CN)
ZHANG CHEN (CN)
ZHANG HAO (CN)
SHI ZHANQUN (CN)
GUO JUNCHAO (CN)
GU FENGSHOU (CN)
ZHANG CHEN (CN)
ZHANG HAO (CN)
SHI ZHANQUN (CN)
Application Number:
PCT/CN2019/077955
Publication Date:
March 26, 2020
Filing Date:
March 13, 2019
Export Citation:
Assignee:
UNIV HEBEI TECHNOLOGY (CN)
International Classes:
G01M13/04; G06F17/14
Foreign References:
| CN109029999A | 2018-12-18 | |||
| CN107831013A | 2018-03-23 | |||
| CN108120598A | 2018-06-05 |
Other References:
XIANGE TIAN: "A robust detector for rolling element bearing condition monitoring based on the modulation signal bispectrum and its performance evaluation against the kurtogram", MECHANICAL SYSTEM AND SIGNAL PROCESSING, 27 July 2017 (2017-07-27), XP055637315
CONG, FEIYUN ET AL.: "Order Selection of AR Predicting Filter for Rolling Bearing Diagnosis", JOURNAL OF VIBRATION AND SHOCK, vol. 31, no. 4, 29 February 2012 (2012-02-29), pages 44 - 46
LIU, SHANGKUN: "Rolling Bearing's Fault Diagnosis Based on AR Model and Total Variation De-noising", CHINESE JOURNAL OF SCIENTIFIC INSTRUMENT, vol. 36, 31 December 2015 (2015-12-31), pages entire document
JUNCHAO QUO ET AL.: "Early Fault Diagnosis for Planetary Gearbox Based wavelet Packet Energy and Modulation Signal Bispectrum Analysis", SENSORS, 1 September 2018 (2018-09-01), XP055694681
CONG, FEIYUN ET AL.: "Order Selection of AR Predicting Filter for Rolling Bearing Diagnosis", JOURNAL OF VIBRATION AND SHOCK, vol. 31, no. 4, 29 February 2012 (2012-02-29), pages 44 - 46
LIU, SHANGKUN: "Rolling Bearing's Fault Diagnosis Based on AR Model and Total Variation De-noising", CHINESE JOURNAL OF SCIENTIFIC INSTRUMENT, vol. 36, 31 December 2015 (2015-12-31), pages entire document
JUNCHAO QUO ET AL.: "Early Fault Diagnosis for Planetary Gearbox Based wavelet Packet Energy and Modulation Signal Bispectrum Analysis", SENSORS, 1 September 2018 (2018-09-01), XP055694681
Attorney, Agent or Firm:
BEIJING BANGDAO LAW OFFICE (CN)
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