Vibration and Acoustics Emission Based Methods in Low-Speed Bearing Condition Monitoring

Zhenling Mo; Jianyu Wang; Heng Zhang; Xiaofen Zeng; Huiyu Liu; Qiang Miao

doi:10.1109/PHM-Chongqing.2018.00156

Vibration and Acoustics Emission Based Methods in Low-Speed Bearing Condition Monitoring

Zhenling Mo
, Jianyu Wang
, Heng Zhang
, Xiaofen Zeng
, Huiyu Liu
, Qiang Miao

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

8 Citations (Scopus)

Abstract

Vibration and acoustics emission based methods are commonly used in condition monitoring and fault diagnosis of rotating machinery. However, condition monitoring of lowspeed bearings may be more difficult than that of high-speed bearings due to its low signal-to-noise ratio. A detailed discussion on vibration and acoustic emission based methods implemented in recent years for fault detection and health condition monitoring of low-speed bearings is presented in this paper. The comparison of these two methods is given, and some suggestions and considerations are included as well. © 2018 IEEE.

Original language	English
Title of host publication	Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018
Publisher	IEEE
Pages	871-875
ISBN (Print)	9781538653791
DOIs	https://doi.org/10.1109/PHM-Chongqing.2018.00156
Publication status	Published - 4 Jan 2019
Externally published	Yes
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
Place	China
City	Chongqing
Period	26/10/18 → 28/10/18

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This research was supported by the National Natural Science Foundation of China (No. 51675355).

Research Keywords

Acoustics
Condition monitoring
Fault diagnosis
Low-speed bearing
Vibration

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10.1109/PHM-Chongqing.2018.00156

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Mo, Z., Wang, J., Zhang, H., Zeng, X., Liu, H., & Miao, Q. (2019). Vibration and Acoustics Emission Based Methods in Low-Speed Bearing Condition Monitoring. In Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018 (pp. 871-875). Article 8603464 (Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018). IEEE. https://doi.org/10.1109/PHM-Chongqing.2018.00156

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title = "Vibration and Acoustics Emission Based Methods in Low-Speed Bearing Condition Monitoring",

abstract = "Vibration and acoustics emission based methods are commonly used in condition monitoring and fault diagnosis of rotating machinery. However, condition monitoring of lowspeed bearings may be more difficult than that of high-speed bearings due to its low signal-to-noise ratio. A detailed discussion on vibration and acoustic emission based methods implemented in recent years for fault detection and health condition monitoring of low-speed bearings is presented in this paper. The comparison of these two methods is given, and some suggestions and considerations are included as well. {\textcopyright} 2018 IEEE.",

keywords = "Acoustics, Condition monitoring, Fault diagnosis, Low-speed bearing, Vibration",

author = "Zhenling Mo and Jianyu Wang and Heng Zhang and Xiaofen Zeng and Huiyu Liu and Qiang Miao",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018 ; Conference date: 26-10-2018 Through 28-10-2018",

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doi = "10.1109/PHM-Chongqing.2018.00156",

language = "English",

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

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Mo, Z, Wang, J, Zhang, H, Zeng, X, Liu, H & Miao, Q 2019, Vibration and Acoustics Emission Based Methods in Low-Speed Bearing Condition Monitoring. in Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018., 8603464, Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018, IEEE, pp. 871-875, 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018, Chongqing, China, 26/10/18. https://doi.org/10.1109/PHM-Chongqing.2018.00156

Vibration and Acoustics Emission Based Methods in Low-Speed Bearing Condition Monitoring. / Mo, Zhenling; Wang, Jianyu; Zhang, Heng et al.
Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018. IEEE, 2019. p. 871-875 8603464 (Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Vibration and Acoustics Emission Based Methods in Low-Speed Bearing Condition Monitoring

AU - Mo, Zhenling

AU - Wang, Jianyu

AU - Zhang, Heng

AU - Zeng, Xiaofen

AU - Liu, Huiyu

AU - Miao, Qiang

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2019/1/4

Y1 - 2019/1/4

N2 - Vibration and acoustics emission based methods are commonly used in condition monitoring and fault diagnosis of rotating machinery. However, condition monitoring of lowspeed bearings may be more difficult than that of high-speed bearings due to its low signal-to-noise ratio. A detailed discussion on vibration and acoustic emission based methods implemented in recent years for fault detection and health condition monitoring of low-speed bearings is presented in this paper. The comparison of these two methods is given, and some suggestions and considerations are included as well. © 2018 IEEE.

AB - Vibration and acoustics emission based methods are commonly used in condition monitoring and fault diagnosis of rotating machinery. However, condition monitoring of lowspeed bearings may be more difficult than that of high-speed bearings due to its low signal-to-noise ratio. A detailed discussion on vibration and acoustic emission based methods implemented in recent years for fault detection and health condition monitoring of low-speed bearings is presented in this paper. The comparison of these two methods is given, and some suggestions and considerations are included as well. © 2018 IEEE.

KW - Acoustics

KW - Condition monitoring

KW - Fault diagnosis

KW - Low-speed bearing

KW - Vibration

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M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781538653791

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

SP - 871

EP - 875

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

PB - IEEE

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

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ER -

Mo Z, Wang J, Zhang H, Zeng X, Liu H, Miao Q. Vibration and Acoustics Emission Based Methods in Low-Speed Bearing Condition Monitoring. In Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018. IEEE. 2019. p. 871-875. 8603464. (Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018). doi: 10.1109/PHM-Chongqing.2018.00156

Vibration and Acoustics Emission Based Methods in Low-Speed Bearing Condition Monitoring

Abstract

Publication series

Conference

Bibliographical note

Funding

Research Keywords

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