Multi-state Reliability Analysis of Solid Oxide Fuel Cells Using Automatic Spectral Clustering and Neighborhood Rough Sets-Reference-Cited by-同舟云学术

Multi-state Reliability Analysis of Solid Oxide Fuel Cells Using Automatic Spectral Clustering and Neighborhood Rough Sets

Published:2023 Issue: Volume: Page:1-1
ISSN:2332-7782
Container-title:IEEE Transactions on Transportation Electrification
language:
Short-container-title:IEEE Trans. Transp. Electrific.

Author:

Peng Jingxuan¹^ORCID,Huang Jian¹^ORCID,Li Yuanzheng¹^ORCID,Jiang Chang¹,Xu Yuan-Wu²^ORCID,Wu Xiao-Long³^ORCID,Li Xi¹^ORCID

Affiliation:

1. Key Laboratory of Imaging Processing and Intelligent Control of Education Ministry, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, PR China

2. School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, China

3. School of Information Engineering, Nanchang University, Nanchang, Jiangxi, PR China

Funder

Science,Technology and Innovation Commission of Shenzhen Municipality

National Natural Science Foundation of China

Guangdong Provincial Key Research and Development Program-China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Transportation,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6687316/7098407/10059187.pdf?arnumber=10059187

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1. Control-oriented Extraction and Prediction of Key Performance Features Affecting Performance Variability of Solid Oxide Fuel Cell System;IEEE Transactions on Transportation Electrification;2023