Early wear detection and Its significance for condition monitoring
Early wear detection and Its significance for condition monitoring
This paper proposes the concept of how machinery condition monitoring can be taken to the next level, through micro-sensing of tribological phenomena occurring between contacting surfaces. By considering wear transitions and wear rates it is possible to distinguish between benign and potentially harmful wear scenarios. By measuring the tribological phenomena associated with these conditions, it should then be possible to determine with greater accuracy the health of a machine at any point in its life. For this approach to succeed, it is necessary to develop a comprehensive and holistic monitoring strategy and target sensing technologies for the key wear factors. The paper has two main sections. Firstly, tribological phenomena and the onset of wear which sets out why and what needs to be monitored. The factors influencing the wear process are grouped into three key areas: lubricant condition, tribo-pair condition and operating condition. Through a critical and comprehensive review of developing and state-of the-art tribo-sensing, the second section identifies the potential technologies for monitoring or measuring the physical parameters within these three groupings and thus sets out how the next generation of machine condition monitoring will need to evolve in order to achieve early wear detection and the related benefits.
early wear detection, machine condition monitoring, tribological phenomena, triobe-pairs
Lu, Ping
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Powrie, Honor
81067bac-f71e-4bdb-b216-87f4f4da43de
Wood, Robert
d9523d31-41a8-459a-8831-70e29ffe8a73
Harvey, Terence
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Harris, Nicholas
237cfdbd-86e4-4025-869c-c85136f14dfd
July 2021
Lu, Ping
fd23d6f6-6474-4a94-95a4-c721d06a354a
Powrie, Honor
81067bac-f71e-4bdb-b216-87f4f4da43de
Wood, Robert
d9523d31-41a8-459a-8831-70e29ffe8a73
Harvey, Terence
3b94322b-18da-4de8-b1af-56d202677e04
Harris, Nicholas
237cfdbd-86e4-4025-869c-c85136f14dfd
Lu, Ping, Powrie, Honor, Wood, Robert, Harvey, Terence and Harris, Nicholas
(2021)
Early wear detection and Its significance for condition monitoring.
Tribology International, 159, [106946].
(doi:10.1016/j.triboint.2021.106946).
Abstract
This paper proposes the concept of how machinery condition monitoring can be taken to the next level, through micro-sensing of tribological phenomena occurring between contacting surfaces. By considering wear transitions and wear rates it is possible to distinguish between benign and potentially harmful wear scenarios. By measuring the tribological phenomena associated with these conditions, it should then be possible to determine with greater accuracy the health of a machine at any point in its life. For this approach to succeed, it is necessary to develop a comprehensive and holistic monitoring strategy and target sensing technologies for the key wear factors. The paper has two main sections. Firstly, tribological phenomena and the onset of wear which sets out why and what needs to be monitored. The factors influencing the wear process are grouped into three key areas: lubricant condition, tribo-pair condition and operating condition. Through a critical and comprehensive review of developing and state-of the-art tribo-sensing, the second section identifies the potential technologies for monitoring or measuring the physical parameters within these three groupings and thus sets out how the next generation of machine condition monitoring will need to evolve in order to achieve early wear detection and the related benefits.
Text
accepted manuscript
- Accepted Manuscript
More information
Accepted/In Press date: 19 February 2021
e-pub ahead of print date: 4 March 2021
Published date: July 2021
Additional Information:
Funding Information:
The authors would like to acknowledge funding from EPSRC : EP/S005463/1 . The authors would also like to thank the PhD students Maruti Sakhamuri and Zaihao Tian sponsored by Schaeffler for their help with the manuscript.
Publisher Copyright:
© 2021 Elsevier Ltd
Keywords:
early wear detection, machine condition monitoring, tribological phenomena, triobe-pairs
Identifiers
Local EPrints ID: 447322
URI: http://eprints.soton.ac.uk/id/eprint/447322
ISSN: 0301-679X
PURE UUID: 7228d672-ad47-419b-a5da-6122f9e7fefe
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Date deposited: 09 Mar 2021 17:32
Last modified: 17 Mar 2024 06:23
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Author:
Honor Powrie
Author:
Nicholas Harris
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