TY - JOUR
T1 - Maintenance and asset management practices of industrial assets
T2 - importance of tribological practices and digital tools
AU - Pai, Raghuvir
AU - Chattopadhyay, Gopinath
AU - Karmakar, Gour
N1 - Funding Information:
Authors are grateful to the Australian Government for funding under the Endeavour Executive Fellowship 2018 for Dr. Raghuvir Pai (supported by Dr. Gopinath Chattopadhyay, Dr. Gour Karmakar and Professor Steven Wilcox) to carry out professional development activities in Australia. The authors thank Professor Steven Wilcox, Professor Mark Sandeman and Assoc. Professor Jason Giri, Faculty of Science and Technology, Federation University, Churchill, VIC 3842, Australia for their kind support. Dr. Raghuvir Pai thanks Manipal Academy of Higher Education, Manipal, India for seconding him to Federation University, Australia, to avail the fellowship.
Publisher Copyright:
Copyright © 2023 Inderscience Enterprises Ltd.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
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U2 - 10.1504/IJPMB.2021.10052127
DO - 10.1504/IJPMB.2021.10052127
M3 - Article
AN - SCOPUS:85147559928
SN - 1460-6739
VL - 13
SP - 233
EP - 256
JO - International Journal of Process Management and Benchmarking
JF - International Journal of Process Management and Benchmarking
IS - 2
ER -