Diagnosis of Motor Bearing Faults Using the Vibration of an On-Rotor Sensing Method

Dawei Shi; Zuolu Wang; Hongjun Wang; Qishan Chen; Yinghang He; Guojin Feng; Fengshou Gu

doi:10.1007/978-3-031-26193-0_96

Diagnosis of Motor Bearing Faults Using the Vibration of an On-Rotor Sensing Method

Dawei Shi, Zuolu Wang, Hongjun Wang, Qishan Chen, Yinghang He, Guojin Feng, Fengshou Gu

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

Abstract

Traditional accelerometers suffer the issue of low signal to noise ratio (SNR) and the measured signals generally show more completed modulation due to the undesired installation. On-Rotor Sensing (ORS) technology has been proposed to solve this problem and achieve the low-cost and effective condition monitoring of rotating machines. This paper aims to develop more accurate and robust diagnosis of motor bearing faults based on the vibration of the ORS. Based on the general layouts of a motor driving system, the structural design and device integration of the ORS system are performed to make it be installed on the shaft end easier and achieve non-invasive measurement. Then the ORS outputs for the diagnosis of different types of bearing faults are deduced theoretically. Experiments of three different motors are carried out to validate the performance of the proposed ORS method. Compared to the On House Sensing (OHS) by the traditional accelerometer, the proposed ORS technology can provide more robust incipient motor bearing fault detection (e.g., inner race and outer race faults), with higher fault frequency amplitudes in the spectrum of low frequency bands.

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	1100-1112
Number of pages	13
Volume	129
ISBN (Electronic)	9783031261930
ISBN (Print)	9783031261923, 9783031261954
DOIs	https://doi.org/10.1007/978-3-031-26193-0_96
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/

UN SDGs

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

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Cite this

Shi, D., Wang, Z., Wang, H., Chen, Q., He, Y., Feng, G., & Gu, F. (2023). Diagnosis of Motor Bearing Faults Using the Vibration of an On-Rotor Sensing Method. 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. 1100-1112). (Mechanisms and Machine Science; Vol. 129 MMS). Springer, Cham. https://doi.org/10.1007/978-3-031-26193-0_96

Shi, Dawei ; Wang, Zuolu ; Wang, Hongjun et al. / Diagnosis of Motor Bearing Faults Using the Vibration of an On-Rotor Sensing Method. 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. 1100-1112 (Mechanisms and Machine Science).

@inproceedings{67f5a5f490d44b0f97dd75352ef592de,

title = "Diagnosis of Motor Bearing Faults Using the Vibration of an On-Rotor Sensing Method",

abstract = "Traditional accelerometers suffer the issue of low signal to noise ratio (SNR) and the measured signals generally show more completed modulation due to the undesired installation. On-Rotor Sensing (ORS) technology has been proposed to solve this problem and achieve the low-cost and effective condition monitoring of rotating machines. This paper aims to develop more accurate and robust diagnosis of motor bearing faults based on the vibration of the ORS. Based on the general layouts of a motor driving system, the structural design and device integration of the ORS system are performed to make it be installed on the shaft end easier and achieve non-invasive measurement. Then the ORS outputs for the diagnosis of different types of bearing faults are deduced theoretically. Experiments of three different motors are carried out to validate the performance of the proposed ORS method. Compared to the On House Sensing (OHS) by the traditional accelerometer, the proposed ORS technology can provide more robust incipient motor bearing fault detection (e.g., inner race and outer race faults), with higher fault frequency amplitudes in the spectrum of low frequency bands.",

keywords = "Motor, On Rotor Sensing, Rolling bearing diagnosis, Vibration",

author = "Dawei Shi and Zuolu Wang and Hongjun Wang and Qishan Chen and Yinghang He and Guojin Feng and Fengshou Gu",

note = "Funding Information: Acknowledgements. This work has been supported by Guangdong Science and Technology Department (No. 2020KTSCX188), Beijing Municipal Science and Technology Commission (No. Z201100008320004). 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",

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doi = "10.1007/978-3-031-26193-0_96",

language = "English",

isbn = "9783031261923",

volume = "129",

series = "Mechanisms and Machine Science",

publisher = "Springer, Cham",

pages = "1100--1112",

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

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}

Shi, D, Wang, Z, Wang, H, Chen, Q, He, Y, Feng, G & Gu, F 2023, Diagnosis of Motor Bearing Faults Using the Vibration of an On-Rotor Sensing Method. 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. 1100-1112, 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_96

Diagnosis of Motor Bearing Faults Using the Vibration of an On-Rotor Sensing Method. / Shi, Dawei; Wang, Zuolu; Wang, Hongjun 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. 1100-1112 (Mechanisms and Machine Science; Vol. 129 MMS).

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

TY - GEN

T1 - Diagnosis of Motor Bearing Faults Using the Vibration of an On-Rotor Sensing Method

AU - Shi, Dawei

AU - Wang, Zuolu

AU - Wang, Hongjun

AU - Chen, Qishan

AU - He, Yinghang

AU - Feng, Guojin

AU - Gu, Fengshou

N1 - Funding Information: Acknowledgements. This work has been supported by Guangdong Science and Technology Department (No. 2020KTSCX188), Beijing Municipal Science and Technology Commission (No. Z201100008320004). Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2023/3/4

Y1 - 2023/3/4

N2 - Traditional accelerometers suffer the issue of low signal to noise ratio (SNR) and the measured signals generally show more completed modulation due to the undesired installation. On-Rotor Sensing (ORS) technology has been proposed to solve this problem and achieve the low-cost and effective condition monitoring of rotating machines. This paper aims to develop more accurate and robust diagnosis of motor bearing faults based on the vibration of the ORS. Based on the general layouts of a motor driving system, the structural design and device integration of the ORS system are performed to make it be installed on the shaft end easier and achieve non-invasive measurement. Then the ORS outputs for the diagnosis of different types of bearing faults are deduced theoretically. Experiments of three different motors are carried out to validate the performance of the proposed ORS method. Compared to the On House Sensing (OHS) by the traditional accelerometer, the proposed ORS technology can provide more robust incipient motor bearing fault detection (e.g., inner race and outer race faults), with higher fault frequency amplitudes in the spectrum of low frequency bands.

AB - Traditional accelerometers suffer the issue of low signal to noise ratio (SNR) and the measured signals generally show more completed modulation due to the undesired installation. On-Rotor Sensing (ORS) technology has been proposed to solve this problem and achieve the low-cost and effective condition monitoring of rotating machines. This paper aims to develop more accurate and robust diagnosis of motor bearing faults based on the vibration of the ORS. Based on the general layouts of a motor driving system, the structural design and device integration of the ORS system are performed to make it be installed on the shaft end easier and achieve non-invasive measurement. Then the ORS outputs for the diagnosis of different types of bearing faults are deduced theoretically. Experiments of three different motors are carried out to validate the performance of the proposed ORS method. Compared to the On House Sensing (OHS) by the traditional accelerometer, the proposed ORS technology can provide more robust incipient motor bearing fault detection (e.g., inner race and outer race faults), with higher fault frequency amplitudes in the spectrum of low frequency bands.

KW - Motor

KW - On Rotor Sensing

KW - Rolling bearing diagnosis

KW - Vibration

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U2 - 10.1007/978-3-031-26193-0_96

DO - 10.1007/978-3-031-26193-0_96

M3 - Conference contribution

AN - SCOPUS:85151119595

SN - 9783031261923

SN - 9783031261954

VL - 129

T3 - Mechanisms and Machine Science

SP - 1100

EP - 1112

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 -

Shi D, Wang Z, Wang H, Chen Q, He Y, Feng G et al. Diagnosis of Motor Bearing Faults Using the Vibration of an On-Rotor Sensing Method. 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. 1100-1112. (Mechanisms and Machine Science). Epub 2023 Mar 3. doi: 10.1007/978-3-031-26193-0_96

Diagnosis of Motor Bearing Faults Using the Vibration of an On-Rotor Sensing Method

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