Title: Maintenance and asset management practices of industrial assets: importance of tribological practices and digital tools
Authors: Raghuvir Pai; Gopinath Chattopadhyay; Gour Karmakar
Addresses: Department of Mechanical and Manufacturing, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India ' School of Engineering IT and Physical Sciences, Federation University, P.O. Box 319, Northways Road, Churchill, Gippsland, Victoria, 3841, Australia ' School of Engineering IT and Physical Sciences, Federation University, P.O. Box 319, Northways Road, Churchill, Gippsland, Victoria, 3841, Australia
Abstract: There are a large number of rotating and sliding parts in industrial assets. Tribological behaviour plays a significant role in influencing friction and wear, and in turn, the life of these parts. There are issues and challenges in understanding the tribological aspects and behaviour of machine components by maintenance professionals so that informed decisions can taken to improve performance and productivity. An understanding of tribology helps in developing and applying the tools and techniques necessary for better maintenance. In recent years, remote performance monitoring (RPM), internet of things (IoT), machine learning, artificial intelligence and data analytics have made a significant contribution to maintenance and asset management. This paper reviews the tribological aspects related to maintenance, reliability and asset management. The findings of this study will be useful to engineers and managers to understand and appreciate the relationship between tribology, maintenance, reliability and availability for better asset management.
Keywords: tribology; maintenance; asset management; internet of things; IoT; machine learning; artificial intelligence; data analytics.
International Journal of Process Management and Benchmarking, 2023 Vol.13 No.2, pp.233 - 256
Received: 25 Apr 2020
Accepted: 08 May 2021
Published online: 24 Jan 2023 *