Remaining useful life prediction based on a multi-sensor data fusion model-Reference-Cited by-同舟云学术

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Remaining useful life prediction based on a multi-sensor data fusion model

Published:2021-04 Issue: Volume:208 Page:107249
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Li Naipeng,Gebraeel Nagi,Lei Yaguo,Fang Xiaolei,Cai Xiao,Yan Tao

Funder

NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference30 articles.

1. Machinery health prognostics: a systematic review from data acquisition to RUL prediction;Lei;Mech Syst Signal Process,2018

2. Prognostics and health management: a review of vibration based bearing and gear health indicators;Wang;IEEE Access,2018

3. Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model;Li;Reliab Eng Syst Saf,2019

4. Inverse Gaussian process models for degradation analysis: a Bayesian perspective;Peng;Reliab Eng Syst Saf,2014

5. An adaptive prognostic approach via nonlinear degradation modeling: application to battery data;Si;IEEE Trans. Ind. Electron.,2015

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