Real-Time Prognostics and Health Management Without Run-to-Failure Data on Railway Assets

Real-Time Prognostics and Health Management Without Run-to-Failure Data on Railway Assets

Prognosis is a challenging technology that aims to accurately predict and estimate the remaining useful life of a component or system in order to enhance its reliability and performance. Although prognosis research for predictive maintenance is a well-researched topic, practical examples of successf...

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Bibliographic Details
Main Authors:	Minoru Shimizu, Suresh Perinpanayagam, Bernadin Namoano, Andrew Starr
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Access
Subjects:	Fault detection prognosis prognostics and health management PHM signal processing remaining useful life
Online Access:	https://ieeexplore.ieee.org/document/10076427/

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