Spatial–temporal synchronous fault feature extraction and diagnosis for proton exchange membrane fuel cell systems-Reference-Cited by-同舟云学术

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Spatial–temporal synchronous fault feature extraction and diagnosis for proton exchange membrane fuel cell systems

Published:2024-09 Issue: Volume:315 Page:118771
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Li Jisen,Zhao Dongqi^ORCID,Xie Liang,Zhou Ze^ORCID,Zhang Liyan,Chen Qihong

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Key Technologies Research and Development Program

Publisher

Elsevier BV

Reference32 articles.

1. Model prediction control-based energy management combining self-trending prediction and subset-searching algorithm for hydrogen electric multiple unit train;Li;IEEE Trans Transp Electrif,2022

2. Hierarchical optimal scheduling method for regional integrated energy systems considering electricity-hydrogen shared energy;Li;Appl Energy,2023

3. Data-based flooding fault diagnosis of proton exchange membrane fuel cell systems using LSTM networks;Gu;Energy AI,2021

4. Model-based fault diagnosis in PEM fuel cell systems;Escobet;J Power Sour,2009

5. High-precision and efficiency diagnosis for polymer electrolyte membrane fuel cell based on physical mechanism and deep learning;Gong;eTransportation,2023

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