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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 Xiang
This 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.



Corrosion and Prevention. Conference (2019 : Melbourne, Vic.)


1 - 10


Australasian Corrosion Association


Melbourne, Vic.

Place of publication

[Melbourne, Vic]

Start date


End date





Paper 103

Publication classification

E1 Full written paper - refereed

Copyright notice

2019, Australasian Corrosion Association


Australasian Corrosion Association

Title of proceedings

Proceedings of the Australasian Corrosion Association 2019 Corrosion and Prevention Conference