An adaptive prognostics method for fusing CDBN and diffusion process: Application to bearing data-Reference-Cited by-同舟云学术

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An adaptive prognostics method for fusing CDBN and diffusion process: Application to bearing data

Published:2021-01 Issue: Volume:421 Page:303-315
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Pei Hong,Si Xiao-Sheng,Hu Chang-Hua,Zheng Jian-Fei,Li Tian-Mei,Zhang Jian-Xun,Pang Zhe-Nan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference51 articles.

1. Data-driven smart manufacturing;Tao;J. Manuf. Syst.,2018

2. Smart manufacturing must embrace big data;Kusiak;Nature,2017

3. Prognostics and Health Management of Electronics;Pecht,2008

4. Remaining useful life estimation-a review on the statistical data driven approaches;Si;Eur. J. Oper. Res.,2011

5. Switching state-space degradation model with recursive filter/smoother for prognostics of remaining useful life;Peng;IEEE Trans. Ind. Inf.,2019

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