A Deep Branched Network for Failure Mode Diagnostics and Remaining Useful Life Prediction-Reference-Cited by-同舟云学术

A Deep Branched Network for Failure Mode Diagnostics and Remaining Useful Life Prediction

Author:

Li Zhen¹^ORCID,Li Yongxiang²^ORCID,Yue Xiaowei³^ORCID,Zio Enrico⁴^ORCID,Wu Jianguo¹^ORCID

Affiliation:

1. Department of Industrial Engineering and Management, College of Engineering, Peking University, Beijing, China

2. Department of Industrial Engineering and Management, Chinese Institute for Quality Research, Shanghai Jiao Tong University, Shanghai, China

3. Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, USA

4. Centre de Recherche sur les Risques et les Crises (CRC), MINES ParisTech/PSL Université Paris, Paris, France

Funder

National Natural Science Foundation of China

Shanghai Pujiang Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference36 articles.

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2. UberNet: A universal CNN for the joint treatment of low-, mid-, and high-level vision problems;kokkinos;Proc POCV Workshop,2016

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