A comprehensive framework from real‐time prognostics to maintenance decisions

A comprehensive framework from real‐time prognostics to maintenance decisions

Abstract Studying the influence of imperfect prognostics information on maintenance decisions is an underexplored area. To bridge this gap, a new comprehensive maintenance support system is proposed. First, a survival theory‐based prognostics module employing the Weibull time‐to‐event recurrent neur...

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Bibliographic Details
Main Authors: Amit Kumar Jain, Maharshi Dhada, Marco Perez Hernandez, Manuel Herrera, Ajith Kumar Parlikad
Format: Article
Language:English
Published: Wiley 2021-06-01
Series:IET Collaborative Intelligent Manufacturing
Subjects:
condition monitoring
maintenance engineering
production engineering computing
recurrent neural nets
remaining life assessment
sensitivity analysis
Online Access:https://doi.org/10.1049/cim2.12021

Internet

https://doi.org/10.1049/cim2.12021

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