The University of Southampton
University of Southampton Institutional Repository

Early wear detection and Its significance for condition monitoring

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
0301-679X
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
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).

Record type: Article

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
Restricted to Repository staff only until 4 March 2023.
Request a copy

More information

Accepted/In Press date: 19 February 2021
e-pub ahead of print date: 4 March 2021
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
ORCID for Robert Wood: ORCID iD orcid.org/0000-0003-0681-9239
ORCID for Nicholas Harris: ORCID iD orcid.org/0000-0003-4122-2219

Catalogue record

Date deposited: 09 Mar 2021 17:32
Last modified: 16 Mar 2021 02:34

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×