A Study of Electric Current Signal Analysis for Motor Bearing Condition Diagnosis

Yinghang He; Kun Feng; Baoshan Huang; Guoji Shen; Dawei Shi; Fengshou Gu; Andrew D. Ball

doi:10.1007/978-3-031-26193-0_14

A Study of Electric Current Signal Analysis for Motor Bearing Condition Diagnosis

Yinghang He, Kun Feng, Baoshan Huang, Guoji Shen, Dawei Shi, Fengshou Gu, Andrew D. Ball

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

Abstract

Bearing faults (BFs) are one of the main failure roots for induction motors (IMs) systems. It is necessary to monitor the conditions of IMs during their operation to prevent such failures. Stator current signal obtain by current probes which has advantages of inexpensive, reliable and non-invasive is preferable for condition monitor of IMs. Research focusing on modelling and analysis of stator current signal with defective bearings suggested the characteristic frequency of BFs in current spectrum could be a diagnosis indictor, however, it is difficult to see the characteristic frequency by spectrum analysis. On the other hand, when BFs occurs, it may also cause the non-uniform air gap in IMs, the frequency components related to the non-uniform air gap can be an indirect indictor to detect BFs in IMs. This paper investigated several related frequency components. Based on the experiment results, it was found that the responses at the rotor bar pass frequency (RBPF) component which is obtained by a modulation signal bispectrum sideband (MSB-SE) method and eccentricity frequency (EF) components in low frequency range are more sensitive to bearing fault conditions and could be used as sensitive diagnosis indictors.

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	151-171
Number of pages	21
Volume	129
Edition	1st
ISBN (Electronic)	9783031261930
ISBN (Print)	9783031261923, 9783031261954
DOIs	https://doi.org/10.1007/978-3-031-26193-0_14
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)

Access to Document

10.1007/978-3-031-26193-0_14Licence: Unspecified

Cite this

He, Y., Feng, K., Huang, B., Shen, G., Shi, D., Gu, F., & Ball, A. D. (2023). A Study of Electric Current Signal Analysis for Motor Bearing Condition Diagnosis. In H. Zhang, Y. Ji, T. Liu, X. Sun, & A. D. Ball (Eds.), Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network (1st ed., Vol. 129, pp. 151-171). (Mechanisms and Machine Science; Vol. 129 MMS). Springer, Cham. https://doi.org/10.1007/978-3-031-26193-0_14

He, Yinghang ; Feng, Kun ; Huang, Baoshan et al. / A Study of Electric Current Signal Analysis for Motor Bearing Condition Diagnosis. Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network. editor / Hao Zhang ; Yongjian Ji ; Tongtong Liu ; Xiuquan Sun ; Andrew David Ball. Vol. 129 1st. ed. Springer, Cham, 2023. pp. 151-171 (Mechanisms and Machine Science).

@inproceedings{7de3f1a511ea46bc9ffdad5afb61f10b,

title = "A Study of Electric Current Signal Analysis for Motor Bearing Condition Diagnosis",

abstract = "Bearing faults (BFs) are one of the main failure roots for induction motors (IMs) systems. It is necessary to monitor the conditions of IMs during their operation to prevent such failures. Stator current signal obtain by current probes which has advantages of inexpensive, reliable and non-invasive is preferable for condition monitor of IMs. Research focusing on modelling and analysis of stator current signal with defective bearings suggested the characteristic frequency of BFs in current spectrum could be a diagnosis indictor, however, it is difficult to see the characteristic frequency by spectrum analysis. On the other hand, when BFs occurs, it may also cause the non-uniform air gap in IMs, the frequency components related to the non-uniform air gap can be an indirect indictor to detect BFs in IMs. This paper investigated several related frequency components. Based on the experiment results, it was found that the responses at the rotor bar pass frequency (RBPF) component which is obtained by a modulation signal bispectrum sideband (MSB-SE) method and eccentricity frequency (EF) components in low frequency range are more sensitive to bearing fault conditions and could be used as sensitive diagnosis indictors.",

keywords = "Induction motor, Rolling bearing faults, Rotor bar pass frequency, Rotor Eccentricity, Stator current",

author = "Yinghang He and Kun Feng and Baoshan Huang and Guoji Shen and Dawei Shi and Fengshou Gu and Ball, {Andrew D.}",

note = "Funding Information: Acknowledgement. The research is supported partially by the Open Fund Project of Key Laboratory of Science and Technology on Integrated Logistics Support (20210804023). 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,

day = "4",

doi = "10.1007/978-3-031-26193-0_14",

language = "English",

isbn = "9783031261923",

volume = "129",

series = "Mechanisms and Machine Science",

publisher = "Springer, Cham",

pages = "151--171",

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

booktitle = "Proceedings of TEPEN 2022",

address = "Switzerland",

edition = "1st",

url = "https://tepen.net/, https://tepen.net/conference/tepen2022/",

}

He, Y, Feng, K, Huang, B, Shen, G, Shi, D, Gu, F & Ball, AD 2023, A Study of Electric Current Signal Analysis for Motor Bearing Condition Diagnosis. in H Zhang, Y Ji, T Liu, X Sun & AD Ball (eds), Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network. 1st edn, vol. 129, Mechanisms and Machine Science, vol. 129 MMS, Springer, Cham, pp. 151-171, 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_14

A Study of Electric Current Signal Analysis for Motor Bearing Condition Diagnosis. / He, Yinghang; Feng, Kun; Huang, Baoshan 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 1st. ed. Springer, Cham, 2023. p. 151-171 (Mechanisms and Machine Science; Vol. 129 MMS).

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

TY - GEN

T1 - A Study of Electric Current Signal Analysis for Motor Bearing Condition Diagnosis

AU - He, Yinghang

AU - Feng, Kun

AU - Huang, Baoshan

AU - Shen, Guoji

AU - Shi, Dawei

AU - Gu, Fengshou

AU - Ball, Andrew D.

N1 - Funding Information: Acknowledgement. The research is supported partially by the Open Fund Project of Key Laboratory of Science and Technology on Integrated Logistics Support (20210804023). Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2023/3/4

Y1 - 2023/3/4

N2 - Bearing faults (BFs) are one of the main failure roots for induction motors (IMs) systems. It is necessary to monitor the conditions of IMs during their operation to prevent such failures. Stator current signal obtain by current probes which has advantages of inexpensive, reliable and non-invasive is preferable for condition monitor of IMs. Research focusing on modelling and analysis of stator current signal with defective bearings suggested the characteristic frequency of BFs in current spectrum could be a diagnosis indictor, however, it is difficult to see the characteristic frequency by spectrum analysis. On the other hand, when BFs occurs, it may also cause the non-uniform air gap in IMs, the frequency components related to the non-uniform air gap can be an indirect indictor to detect BFs in IMs. This paper investigated several related frequency components. Based on the experiment results, it was found that the responses at the rotor bar pass frequency (RBPF) component which is obtained by a modulation signal bispectrum sideband (MSB-SE) method and eccentricity frequency (EF) components in low frequency range are more sensitive to bearing fault conditions and could be used as sensitive diagnosis indictors.

AB - Bearing faults (BFs) are one of the main failure roots for induction motors (IMs) systems. It is necessary to monitor the conditions of IMs during their operation to prevent such failures. Stator current signal obtain by current probes which has advantages of inexpensive, reliable and non-invasive is preferable for condition monitor of IMs. Research focusing on modelling and analysis of stator current signal with defective bearings suggested the characteristic frequency of BFs in current spectrum could be a diagnosis indictor, however, it is difficult to see the characteristic frequency by spectrum analysis. On the other hand, when BFs occurs, it may also cause the non-uniform air gap in IMs, the frequency components related to the non-uniform air gap can be an indirect indictor to detect BFs in IMs. This paper investigated several related frequency components. Based on the experiment results, it was found that the responses at the rotor bar pass frequency (RBPF) component which is obtained by a modulation signal bispectrum sideband (MSB-SE) method and eccentricity frequency (EF) components in low frequency range are more sensitive to bearing fault conditions and could be used as sensitive diagnosis indictors.

KW - Induction motor

KW - Rolling bearing faults

KW - Rotor bar pass frequency

KW - Rotor Eccentricity

KW - Stator current

UR - http://www.scopus.com/inward/record.url?scp=85151166874&partnerID=8YFLogxK

UR - https://link.springer.com/book/10.1007/978-3-031-26193-0

U2 - 10.1007/978-3-031-26193-0_14

DO - 10.1007/978-3-031-26193-0_14

M3 - Conference contribution

AN - SCOPUS:85151166874

SN - 9783031261923

SN - 9783031261954

VL - 129

T3 - Mechanisms and Machine Science

SP - 151

EP - 171

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 -

He Y, Feng K, Huang B, Shen G, Shi D, Gu F et al. A Study of Electric Current Signal Analysis for Motor Bearing Condition Diagnosis. In Zhang H, Ji Y, Liu T, Sun X, Ball AD, editors, Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network. 1st ed. Vol. 129. Springer, Cham. 2023. p. 151-171. (Mechanisms and Machine Science). Epub 2023 Mar 3. doi: 10.1007/978-3-031-26193-0_14

A Study of Electric Current Signal Analysis for Motor Bearing Condition Diagnosis

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this