The Fault Diagnosis Strategy of Rolling Bearings Using Harmonic Modulation Bispectrum

Miaorui Yang; Yonggang Xu; Fengshou Gu

doi:10.1007/978-3-031-49413-0_80

The Fault Diagnosis Strategy of Rolling Bearings Using Harmonic Modulation Bispectrum

Miaorui Yang, Yonggang Xu, Fengshou Gu

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

Abstract

Rolling bearing is a key component in mechanical equipment, so it is important to carry out fault diagnosis effectively. It is a crucial step to demodulate the modulation components caused by faults in the fault diagnosis method of rolling bearings. In this paper, an advanced demodulation method called harmonic modulation spectrum (HMB) is proposed considering the complex coupling relationship in the modulation components. HMB can identify the modulation information in the signal accurately and the result is clear and intuitive with fewer redundant components. At the same time, a fault diagnosis strategy based on HMB for rolling bearings is proposed. The linear kurtosis is used to locate the slice with the most fault information in HMB, and the fault feature is extracted to realize fault diagnosis. The effectiveness of this strategy in practical application is verified by the experimental data set of rolling bearing with the outer ring fault.

Original language	English
Title of host publication	Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1
Editors	Andrew D. Ball, Huajiang Ouyang, Jyoti K. Sinha, Zuolu Wang
Publisher	Springer, Cham
Pages	1041-1051
Number of pages	11
Volume	151
ISBN (Electronic)	9783031494130
ISBN (Print)	9783031494123, 9783031494154
DOIs	https://doi.org/10.1007/978-3-031-49413-0_80
Publication status	Published - 30 May 2024
Event	The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences - Huddersfield, United Kingdom, Huddersfield, United Kingdom Duration: 29 Aug 2023 → 1 Sep 2023 https://unified2023.org/

Publication series

Name	Mechanisms and Machine Science
Publisher	Springer
Volume	151 MMS
ISSN (Print)	2211-0984
ISSN (Electronic)	2211-0992

Conference

Conference	The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences
Abbreviated title	UNIfied 2023
Country/Territory	United Kingdom
City	Huddersfield
Period	29/08/23 → 1/09/23
Internet address	https://unified2023.org/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Cite this

Yang, M., Xu, Y., & Gu, F. (2024). The Fault Diagnosis Strategy of Rolling Bearings Using Harmonic Modulation Bispectrum. In A. D. Ball, H. Ouyang, J. K. Sinha, & Z. Wang (Eds.), Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1 (Vol. 151, pp. 1041-1051). (Mechanisms and Machine Science; Vol. 151 MMS). Springer, Cham. https://doi.org/10.1007/978-3-031-49413-0_80

Yang, Miaorui ; Xu, Yonggang ; Gu, Fengshou. / The Fault Diagnosis Strategy of Rolling Bearings Using Harmonic Modulation Bispectrum. Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1. editor / Andrew D. Ball ; Huajiang Ouyang ; Jyoti K. Sinha ; Zuolu Wang. Vol. 151 Springer, Cham, 2024. pp. 1041-1051 (Mechanisms and Machine Science).

@inproceedings{6a64200e85fd499fb1abe8e125108df7,

title = "The Fault Diagnosis Strategy of Rolling Bearings Using Harmonic Modulation Bispectrum",

abstract = "Rolling bearing is a key component in mechanical equipment, so it is important to carry out fault diagnosis effectively. It is a crucial step to demodulate the modulation components caused by faults in the fault diagnosis method of rolling bearings. In this paper, an advanced demodulation method called harmonic modulation spectrum (HMB) is proposed considering the complex coupling relationship in the modulation components. HMB can identify the modulation information in the signal accurately and the result is clear and intuitive with fewer redundant components. At the same time, a fault diagnosis strategy based on HMB for rolling bearings is proposed. The linear kurtosis is used to locate the slice with the most fault information in HMB, and the fault feature is extracted to realize fault diagnosis. The effectiveness of this strategy in practical application is verified by the experimental data set of rolling bearing with the outer ring fault.",

keywords = "Fault diagnosis, Harmonic modulation bispectrum, Rolling bearings, Signal demodulation",

author = "Miaorui Yang and Yonggang Xu and Fengshou Gu",

note = "Funding Information: The first author would like to thank Professor Fengshou Gu for sharing Modulated Signal Bispectrum codes. In addition, thanks a lot for sharing fault bearing data by Professor Peng Chen from Mie University. The work was supported by the National Natural Science Foundation of China (Grant Nos. 51775005). Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences, UNIfied 2023 ; Conference date: 29-08-2023 Through 01-09-2023",

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Yang, M, Xu, Y & Gu, F 2024, The Fault Diagnosis Strategy of Rolling Bearings Using Harmonic Modulation Bispectrum. in AD Ball, H Ouyang, JK Sinha & Z Wang (eds), Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1. vol. 151, Mechanisms and Machine Science, vol. 151 MMS, Springer, Cham, pp. 1041-1051, The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences, Huddersfield, United Kingdom, 29/08/23. https://doi.org/10.1007/978-3-031-49413-0_80

The Fault Diagnosis Strategy of Rolling Bearings Using Harmonic Modulation Bispectrum. / Yang, Miaorui; Xu, Yonggang; Gu, Fengshou.

Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1. ed. / Andrew D. Ball; Huajiang Ouyang; Jyoti K. Sinha; Zuolu Wang. Vol. 151 Springer, Cham, 2024. p. 1041-1051 (Mechanisms and Machine Science; Vol. 151 MMS).

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

TY - GEN

T1 - The Fault Diagnosis Strategy of Rolling Bearings Using Harmonic Modulation Bispectrum

AU - Yang, Miaorui

AU - Xu, Yonggang

AU - Gu, Fengshou

N1 - Funding Information: The first author would like to thank Professor Fengshou Gu for sharing Modulated Signal Bispectrum codes. In addition, thanks a lot for sharing fault bearing data by Professor Peng Chen from Mie University. The work was supported by the National Natural Science Foundation of China (Grant Nos. 51775005). Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024/5/30

Y1 - 2024/5/30

N2 - Rolling bearing is a key component in mechanical equipment, so it is important to carry out fault diagnosis effectively. It is a crucial step to demodulate the modulation components caused by faults in the fault diagnosis method of rolling bearings. In this paper, an advanced demodulation method called harmonic modulation spectrum (HMB) is proposed considering the complex coupling relationship in the modulation components. HMB can identify the modulation information in the signal accurately and the result is clear and intuitive with fewer redundant components. At the same time, a fault diagnosis strategy based on HMB for rolling bearings is proposed. The linear kurtosis is used to locate the slice with the most fault information in HMB, and the fault feature is extracted to realize fault diagnosis. The effectiveness of this strategy in practical application is verified by the experimental data set of rolling bearing with the outer ring fault.

AB - Rolling bearing is a key component in mechanical equipment, so it is important to carry out fault diagnosis effectively. It is a crucial step to demodulate the modulation components caused by faults in the fault diagnosis method of rolling bearings. In this paper, an advanced demodulation method called harmonic modulation spectrum (HMB) is proposed considering the complex coupling relationship in the modulation components. HMB can identify the modulation information in the signal accurately and the result is clear and intuitive with fewer redundant components. At the same time, a fault diagnosis strategy based on HMB for rolling bearings is proposed. The linear kurtosis is used to locate the slice with the most fault information in HMB, and the fault feature is extracted to realize fault diagnosis. The effectiveness of this strategy in practical application is verified by the experimental data set of rolling bearing with the outer ring fault.

KW - Fault diagnosis

KW - Harmonic modulation bispectrum

KW - Rolling bearings

KW - Signal demodulation

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UR - https://doi.org/10.1007/978-3-031-49413-0

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DO - 10.1007/978-3-031-49413-0_80

M3 - Conference contribution

AN - SCOPUS:85197168502

SN - 9783031494123

SN - 9783031494154

VL - 151

T3 - Mechanisms and Machine Science

SP - 1041

EP - 1051

BT - Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1

A2 - Ball, Andrew D.

A2 - Ouyang, Huajiang

A2 - Sinha, Jyoti K.

A2 - Wang, Zuolu

PB - Springer, Cham

T2 - The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences

Y2 - 29 August 2023 through 1 September 2023

ER -

Yang M, Xu Y, Gu F. The Fault Diagnosis Strategy of Rolling Bearings Using Harmonic Modulation Bispectrum. In Ball AD, Ouyang H, Sinha JK, Wang Z, editors, Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1. Vol. 151. Springer, Cham. 2024. p. 1041-1051. (Mechanisms and Machine Science). Epub 2024 May 29. doi: 10.1007/978-3-031-49413-0_80

The Fault Diagnosis Strategy of Rolling Bearings Using Harmonic Modulation Bispectrum

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