Symbolic deep learning based prognostics for dynamic operating proton exchange membrane fuel cells-Reference-Cited by-同舟云学术

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Symbolic deep learning based prognostics for dynamic operating proton exchange membrane fuel cells

Published:2022-01 Issue: Volume:305 Page:117918
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Wang Chu,Li Zhongliang,Outbib Rachid,Dou Manfeng,Zhao Dongdong

Funder

China Scholarship Council

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference29 articles.

1. Department of Energy Hydrogen Program Plan;McQueen,2020

2. Technology Assessment of a Fuel Cell Vehicle: 2017 Toyota Mirai;Lohse-Busch,2018

3. The Fuel Cell Industry Review;Hart;E4tech,2020

4. Fuel Cell Buses in U.S. Transit Fleets: Current Status 2018. Golden, CO (United States);Eudy;National Renewable Energy Lab. (NREL),2019

5. A review on prognostics and health monitoring of proton exchange membrane fuel cell;Sutharssan;Renew Sustain Energy Rev,2017

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