Fault Diagnostics of AC Motor Bearings Based on Envelope Analysis of Vibration Residual Signal

Jingyan Zhao; Xiuquan Sun; Jianguo Wang; Zewen Zhou; Yousif Muhamedsalih; Fengshou Gu; Andrew D. Ball

doi:10.1007/978-3-031-26193-0_78

Fault Diagnostics of AC Motor Bearings Based on Envelope Analysis of Vibration Residual Signal

Jingyan Zhao, Xiuquan Sun, Jianguo Wang, Zewen Zhou, Yousif Muhamedsalih, Fengshou Gu, Andrew D. Ball

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

Abstract

Vibration-based condition monitoring of AC motor bearing is a challenging task as the vibration signal has tremendous background noise including motion from other rotating components and electromagnetic noise. This leads to vibration signals with a low signal-to-noise ratio (SNR) which makes the fault feature submerged in other signatures. To accurately monitor the bearing condition, this paper proposed an effective technique to diagnose the defect on the bearing outer race. Firstly, a newly defined threshold based on the rotating frequency of the motor rotor was proposed to calculate the residual signal of motor vibration so as to remove the effect from other characteristic frequencies. Then, the envelope analysis was performed on the residual signal to get the fault features. The results show that compared with the conventional envelope analysis of raw vibration signal, the residual signal envelope can effectively filter the non-fault related characteristic frequencies and keeps the fault frequency and its harmonics, which gives a high SNR for reliable fault diagnosis.

Original language	English
Title of host publication	Proceedings of TEPEN 2022
Subtitle of host publication	Efficiency and Performance Engineering Network
Editors	Hao Zhang, Yongjian Ji, Tongtong Liu, Xiuquan Sun, Andrew David Ball
Publisher	Springer, Cham
Pages	889-899
Number of pages	11
Volume	129
ISBN (Electronic)	9783031261930
ISBN (Print)	9783031261923, 9783031261954
DOIs	https://doi.org/10.1007/978-3-031-26193-0_78
Publication status	Published - 4 Mar 2023
Event	International Conference of The Efficiency and Performance Engineering Network 2022 - Baotou, China Duration: 18 Aug 2022 → 21 Aug 2022 https://tepen.net/ https://tepen.net/conference/tepen2022/

Publication series

Name	Mechanisms and Machine Science
Publisher	Springer
Volume	129 MMS
ISSN (Print)	2211-0984
ISSN (Electronic)	2211-0992

Conference

Conference	International Conference of The Efficiency and Performance Engineering Network 2022
Abbreviated title	TEPEN 2022
Country/Territory	China
City	Baotou
Period	18/08/22 → 21/08/22
Internet address	https://tepen.net/ https://tepen.net/conference/tepen2022/

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

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Zhao, J., Sun, X., Wang, J., Zhou, Z., Muhamedsalih, Y., Gu, F., & Ball, A. D. (2023). Fault Diagnostics of AC Motor Bearings Based on Envelope Analysis of Vibration Residual Signal. In H. Zhang, Y. Ji, T. Liu, X. Sun, & A. D. Ball (Eds.), Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network (Vol. 129, pp. 889-899). (Mechanisms and Machine Science; Vol. 129 MMS). Springer, Cham. https://doi.org/10.1007/978-3-031-26193-0_78

Zhao, Jingyan ; Sun, Xiuquan ; Wang, Jianguo et al. / Fault Diagnostics of AC Motor Bearings Based on Envelope Analysis of Vibration Residual Signal. Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network. editor / Hao Zhang ; Yongjian Ji ; Tongtong Liu ; Xiuquan Sun ; Andrew David Ball. Vol. 129 Springer, Cham, 2023. pp. 889-899 (Mechanisms and Machine Science).

@inproceedings{5e322722142c4c17a563df0d6b431fc5,

title = "Fault Diagnostics of AC Motor Bearings Based on Envelope Analysis of Vibration Residual Signal",

abstract = "Vibration-based condition monitoring of AC motor bearing is a challenging task as the vibration signal has tremendous background noise including motion from other rotating components and electromagnetic noise. This leads to vibration signals with a low signal-to-noise ratio (SNR) which makes the fault feature submerged in other signatures. To accurately monitor the bearing condition, this paper proposed an effective technique to diagnose the defect on the bearing outer race. Firstly, a newly defined threshold based on the rotating frequency of the motor rotor was proposed to calculate the residual signal of motor vibration so as to remove the effect from other characteristic frequencies. Then, the envelope analysis was performed on the residual signal to get the fault features. The results show that compared with the conventional envelope analysis of raw vibration signal, the residual signal envelope can effectively filter the non-fault related characteristic frequencies and keeps the fault frequency and its harmonics, which gives a high SNR for reliable fault diagnosis.",

keywords = "AC induction motor, Bearing outer race, Envelope analysis, Fault diagnosis, Residual signal envelope",

author = "Jingyan Zhao and Xiuquan Sun and Jianguo Wang and Zewen Zhou and Yousif Muhamedsalih and Fengshou Gu and Ball, {Andrew D.}",

note = "Funding Information: Acknowledgment. This work was supported by the National Natural Science of China (51865045). Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference of The Efficiency and Performance Engineering Network 2022, TEPEN 2022 ; Conference date: 18-08-2022 Through 21-08-2022",

year = "2023",

month = mar,

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doi = "10.1007/978-3-031-26193-0_78",

language = "English",

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volume = "129",

series = "Mechanisms and Machine Science",

publisher = "Springer, Cham",

pages = "889--899",

editor = "Hao Zhang and Yongjian Ji and Tongtong Liu and Xiuquan Sun and Ball, {Andrew David}",

booktitle = "Proceedings of TEPEN 2022",

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Zhao, J, Sun, X, Wang, J, Zhou, Z, Muhamedsalih, Y, Gu, F & Ball, AD 2023, Fault Diagnostics of AC Motor Bearings Based on Envelope Analysis of Vibration Residual Signal. in H Zhang, Y Ji, T Liu, X Sun & AD Ball (eds), Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network. vol. 129, Mechanisms and Machine Science, vol. 129 MMS, Springer, Cham, pp. 889-899, International Conference of The Efficiency and Performance Engineering Network 2022, Baotou, China, 18/08/22. https://doi.org/10.1007/978-3-031-26193-0_78

Fault Diagnostics of AC Motor Bearings Based on Envelope Analysis of Vibration Residual Signal. / Zhao, Jingyan; Sun, Xiuquan; Wang, Jianguo et al.

Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network. ed. / Hao Zhang; Yongjian Ji; Tongtong Liu; Xiuquan Sun; Andrew David Ball. Vol. 129 Springer, Cham, 2023. p. 889-899 (Mechanisms and Machine Science; Vol. 129 MMS).

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

TY - GEN

T1 - Fault Diagnostics of AC Motor Bearings Based on Envelope Analysis of Vibration Residual Signal

AU - Zhao, Jingyan

AU - Sun, Xiuquan

AU - Wang, Jianguo

AU - Zhou, Zewen

AU - Muhamedsalih, Yousif

AU - Gu, Fengshou

AU - Ball, Andrew D.

N1 - Funding Information: Acknowledgment. This work was supported by the National Natural Science of China (51865045). Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2023/3/4

Y1 - 2023/3/4

N2 - Vibration-based condition monitoring of AC motor bearing is a challenging task as the vibration signal has tremendous background noise including motion from other rotating components and electromagnetic noise. This leads to vibration signals with a low signal-to-noise ratio (SNR) which makes the fault feature submerged in other signatures. To accurately monitor the bearing condition, this paper proposed an effective technique to diagnose the defect on the bearing outer race. Firstly, a newly defined threshold based on the rotating frequency of the motor rotor was proposed to calculate the residual signal of motor vibration so as to remove the effect from other characteristic frequencies. Then, the envelope analysis was performed on the residual signal to get the fault features. The results show that compared with the conventional envelope analysis of raw vibration signal, the residual signal envelope can effectively filter the non-fault related characteristic frequencies and keeps the fault frequency and its harmonics, which gives a high SNR for reliable fault diagnosis.

AB - Vibration-based condition monitoring of AC motor bearing is a challenging task as the vibration signal has tremendous background noise including motion from other rotating components and electromagnetic noise. This leads to vibration signals with a low signal-to-noise ratio (SNR) which makes the fault feature submerged in other signatures. To accurately monitor the bearing condition, this paper proposed an effective technique to diagnose the defect on the bearing outer race. Firstly, a newly defined threshold based on the rotating frequency of the motor rotor was proposed to calculate the residual signal of motor vibration so as to remove the effect from other characteristic frequencies. Then, the envelope analysis was performed on the residual signal to get the fault features. The results show that compared with the conventional envelope analysis of raw vibration signal, the residual signal envelope can effectively filter the non-fault related characteristic frequencies and keeps the fault frequency and its harmonics, which gives a high SNR for reliable fault diagnosis.

KW - AC induction motor

KW - Bearing outer race

KW - Envelope analysis

KW - Fault diagnosis

KW - Residual signal envelope

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U2 - 10.1007/978-3-031-26193-0_78

DO - 10.1007/978-3-031-26193-0_78

M3 - Conference contribution

AN - SCOPUS:85151142655

SN - 9783031261923

SN - 9783031261954

VL - 129

T3 - Mechanisms and Machine Science

SP - 889

EP - 899

BT - Proceedings of TEPEN 2022

A2 - Zhang, Hao

A2 - Ji, Yongjian

A2 - Liu, Tongtong

A2 - Sun, Xiuquan

A2 - Ball, Andrew David

PB - Springer, Cham

T2 - International Conference of The Efficiency and Performance Engineering Network 2022

Y2 - 18 August 2022 through 21 August 2022

ER -

Zhao J, Sun X, Wang J, Zhou Z, Muhamedsalih Y, Gu F et al. Fault Diagnostics of AC Motor Bearings Based on Envelope Analysis of Vibration Residual Signal. In Zhang H, Ji Y, Liu T, Sun X, Ball AD, editors, Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network. Vol. 129. Springer, Cham. 2023. p. 889-899. (Mechanisms and Machine Science). Epub 2023 Mar 3. doi: 10.1007/978-3-031-26193-0_78

Fault Diagnostics of AC Motor Bearings Based on Envelope Analysis of Vibration Residual Signal

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