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Predictive maintenance based on smart monitoring and data analytics
conference contribution
posted on 2019-01-01, 00:00 authored by Mike Yongjun TanMike Yongjun Tan, Kongalage Nishchitha Indivarie Ubhayaratne, Ying Huo, Bob Varela, Yong XiangYong XiangThis paper discusses recent world progresses in smart monitoring and data analytics that have enabled predictive maintenance (PdM) of infrastructures; however currently the industry is slow in employing new smart monitoring sensors, information technologies, and data analytics for achieving PdM. PdM is data-driven and relies on smart monitoring and data analytics insights for maintenance, protection and repairs ahead of disruptions in operation. PdM is considered to be a new industry trend and has progressed rapidly in the industrial world since the 1990s; however our recent survey of the industry has shown that its application in infrastructure maintenance is very limited. This paper also discusses briefly recent progresses in PdM enabling technologies including corrosion monitoring probes, information technology platforms, data analytics and internet-of-things.
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Event
Corrosion and Prevention. Conference (2019 : Melbourne, Vic.)Pagination
1 - 10Publisher
Australasian Corrosion AssociationLocation
Melbourne, Vic.Place of publication
[Melbourne, Vic]Start date
2019-11-24End date
2019-11-27Language
engNotes
Paper 103Publication classification
E1 Full written paper - refereedCopyright notice
2019, Australasian Corrosion AssociationEditor/Contributor(s)
Australasian Corrosion AssociationTitle of proceedings
Proceedings of the Australasian Corrosion Association 2019 Corrosion and Prevention ConferenceUsage metrics
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