Bearing Fault Diagnosis Based on Slice Spectral Analysis

Yurong Zhu; Jun Yao

doi:10.1109/PHM-Chongqing.2018.00126

Bearing Fault Diagnosis Based on Slice Spectral Analysis

Yurong Zhu
, Jun Yao

School of Reliability and Systems Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Higher-order spectral analysis can suppress Gaussian noise effectively, and Hilbert envelope analysis can demodulate the fault modulation frequency. In order to analyze the fault vibration signal of mechanical products accurately, in this paper the advantages of higher-order spectrum and Hilbert envelope analysis are combined. Firstly, the Hilbert envelope analysis of the vibration signal is performed to obtain the envelope of the signal. Then the envelope is analyzed by bispectrum. At last the nonlinear characteristics resulting from the secondary phase coupling can be extracted to obtain the fault characteristic frequency. Through a case study, the method proposed in this paper is verified, which makes effective diagnosis of the bearing failure.

Original language	English
Title of host publication	Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018
Editors	Ping Ding, Chuan Li, Shuai Yang, Ping Ding, Rene-Vinicio Sanchez
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	704-709
Number of pages	6
ISBN (Electronic)	9781538653791
DOIs	https://doi.org/10.1109/PHM-Chongqing.2018.00126
State	Published - 4 Jan 2019
Event	2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018 - Chongqing, China Duration: 26 Oct 2018 → 28 Oct 2018

Publication series

Name	Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018

Conference

Conference	2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018
Country/Territory	China
City	Chongqing
Period	26/10/18 → 28/10/18

Keywords

Bearing Failure
Bispectrum Hilbert Envelope Analysis
Fault Diagnosis

Access to Document

10.1109/PHM-Chongqing.2018.00126

Cite this

Zhu, Y., & Yao, J. (2019). Bearing Fault Diagnosis Based on Slice Spectral Analysis. In P. Ding, C. Li, S. Yang, P. Ding, & R.-V. Sanchez (Eds.), Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018 (pp. 704-709). Article 8603434 (Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PHM-Chongqing.2018.00126

Zhu, Yurong ; Yao, Jun. / Bearing Fault Diagnosis Based on Slice Spectral Analysis. Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018. editor / Ping Ding ; Chuan Li ; Shuai Yang ; Ping Ding ; Rene-Vinicio Sanchez. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 704-709 (Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018).

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title = "Bearing Fault Diagnosis Based on Slice Spectral Analysis",

abstract = "Higher-order spectral analysis can suppress Gaussian noise effectively, and Hilbert envelope analysis can demodulate the fault modulation frequency. In order to analyze the fault vibration signal of mechanical products accurately, in this paper the advantages of higher-order spectrum and Hilbert envelope analysis are combined. Firstly, the Hilbert envelope analysis of the vibration signal is performed to obtain the envelope of the signal. Then the envelope is analyzed by bispectrum. At last the nonlinear characteristics resulting from the secondary phase coupling can be extracted to obtain the fault characteristic frequency. Through a case study, the method proposed in this paper is verified, which makes effective diagnosis of the bearing failure.",

keywords = "Bearing Failure, Bispectrum Hilbert Envelope Analysis, Fault Diagnosis",

author = "Yurong Zhu and Jun Yao",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018 ; Conference date: 26-10-2018 Through 28-10-2018",

year = "2019",

month = jan,

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doi = "10.1109/PHM-Chongqing.2018.00126",

language = "英语",

series = "Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "704--709",

editor = "Ping Ding and Chuan Li and Shuai Yang and Ping Ding and Rene-Vinicio Sanchez",

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Zhu, Y & Yao, J 2019, Bearing Fault Diagnosis Based on Slice Spectral Analysis. in P Ding, C Li, S Yang, P Ding & R-V Sanchez (eds), Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018., 8603434, Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018, Institute of Electrical and Electronics Engineers Inc., pp. 704-709, 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018, Chongqing, China, 26/10/18. https://doi.org/10.1109/PHM-Chongqing.2018.00126

Bearing Fault Diagnosis Based on Slice Spectral Analysis. / Zhu, Yurong; Yao, Jun.
Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018. ed. / Ping Ding; Chuan Li; Shuai Yang; Ping Ding; Rene-Vinicio Sanchez. Institute of Electrical and Electronics Engineers Inc., 2019. p. 704-709 8603434 (Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Bearing Fault Diagnosis Based on Slice Spectral Analysis

AU - Zhu, Yurong

AU - Yao, Jun

PY - 2019/1/4

Y1 - 2019/1/4

N2 - Higher-order spectral analysis can suppress Gaussian noise effectively, and Hilbert envelope analysis can demodulate the fault modulation frequency. In order to analyze the fault vibration signal of mechanical products accurately, in this paper the advantages of higher-order spectrum and Hilbert envelope analysis are combined. Firstly, the Hilbert envelope analysis of the vibration signal is performed to obtain the envelope of the signal. Then the envelope is analyzed by bispectrum. At last the nonlinear characteristics resulting from the secondary phase coupling can be extracted to obtain the fault characteristic frequency. Through a case study, the method proposed in this paper is verified, which makes effective diagnosis of the bearing failure.

AB - Higher-order spectral analysis can suppress Gaussian noise effectively, and Hilbert envelope analysis can demodulate the fault modulation frequency. In order to analyze the fault vibration signal of mechanical products accurately, in this paper the advantages of higher-order spectrum and Hilbert envelope analysis are combined. Firstly, the Hilbert envelope analysis of the vibration signal is performed to obtain the envelope of the signal. Then the envelope is analyzed by bispectrum. At last the nonlinear characteristics resulting from the secondary phase coupling can be extracted to obtain the fault characteristic frequency. Through a case study, the method proposed in this paper is verified, which makes effective diagnosis of the bearing failure.

KW - Bearing Failure

KW - Bispectrum Hilbert Envelope Analysis

KW - Fault Diagnosis

UR - https://www.scopus.com/pages/publications/85061813914

U2 - 10.1109/PHM-Chongqing.2018.00126

DO - 10.1109/PHM-Chongqing.2018.00126

M3 - 会议稿件

AN - SCOPUS:85061813914

T3 - Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018

SP - 704

EP - 709

BT - Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018

A2 - Ding, Ping

A2 - Li, Chuan

A2 - Yang, Shuai

A2 - Ding, Ping

A2 - Sanchez, Rene-Vinicio

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018

Y2 - 26 October 2018 through 28 October 2018

ER -

Zhu Y, Yao J. Bearing Fault Diagnosis Based on Slice Spectral Analysis. In Ding P, Li C, Yang S, Ding P, Sanchez RV, editors, Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 704-709. 8603434. (Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018). doi: 10.1109/PHM-Chongqing.2018.00126

Bearing Fault Diagnosis Based on Slice Spectral Analysis

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