Remaining Useful Life Prediction-Based Maintenance Decision Model for Stochastic Deterioration Equipment under Data-Driven

Remaining Useful Life Prediction-Based Maintenance Decision Model for Stochastic Deterioration Equipment under Data-Driven

Currently, the Remaining Useful Life (RUL) prediction accuracy of stochastic deterioration equipment is low. Existing researches did not consider the impact of imperfect maintenance on equipment degradation and maintenance decisions. Therefore, this paper proposed a remaining useful life prediction-...

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Bibliographic Details
Main Authors: Xiangang Cao, Pengfei Li, Song Ming
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sustainability
Subjects:
stochastic deterioration equipment
data-driven
nonlinear Wiener process
RUL prediction
maintenance decision
sustainability
Online Access:https://www.mdpi.com/2071-1050/13/15/8548

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