Remaining Useful Life Prediction With Fusing Failure Time Data and Field Degradation Data With Random Effects

Remaining Useful Life Prediction With Fusing Failure Time Data and Field Degradation Data With Random Effects

Accurate remaining useful life (RUL) prediction has a great significance to improve the reliability and safety for key equipment. However, it often occur imperfect or even no prior degradation information in practical application for the existing RUL prediction methods, which could produce predictio...

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Bibliographic Details
Main Authors:	Shengjin Tang, Xiaodong Xu, Chuanqiang Yu, Xiaoyan Sun, Hongdong Fan, Xiao-Sheng Si
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	IEEE Access
Subjects:	Remaining useful life prediction wiener processes fusing failure time data field degradation data random effects
Online Access:	https://ieeexplore.ieee.org/document/8876626/

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