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Evaluation method for feature selection in proton exchange membrane fuel cell fault diagnosis

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journal contribution
posted on 2022-03-03, 17:06 authored by Lei Mao, Zhongyong Liu, Derek Low, Weitao Pan, Qingbo He, Lisa JacksonLisa Jackson, Qiang Wu
Considering the fact that various features can be used in proton exchange membrane fuel cell (PEMFC) fault diagnosis, while the lack of feature evaluation method brings great difficulty in selecting appropriate features at practical PEMFC applications, a generalized feature evaluation and selection method is urgently required in PEMFC fault diagnosis. This article proposes a novel feature evaluation method, where feature discrimination capacity and robustness are evaluated. With the proposed method, features providing accurate and consistent diagnostic performance can be determined. In this study, features widely used in existing PEMFC fault diagnosis are utilized, which are extracted from either PEMFC voltage or multisensor signals, and their effectiveness in identifying faults at different PEMFC systems is investigated. Results demonstrate that with the proposed evaluation method, available features from various PEMFC test data can be ranked based on their diagnostic results. From the findings, appropriate features for PEMFC fault diagnosis can be determined. Moreover, early stage PEMFC faults can also be distinguished with high ranking features. This will be beneficial in practical PEMFC systems, where mitigation strategies can be taken to remove the effect due to early stage faults.

Funding

National Natural Science Foundation of China (NSFC) under Grant 51975549

Anhui Provincial Natural Science Foundation under Grant 1908085ME161

State Key Laboratory of Mechanical System and Vibration under Grant MSV202017

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

IEEE Transactions on Industrial Electronics

Volume

69

Issue

5

Pages

5277 - 5286

Publisher

IEEE

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Acceptance date

2021-04-23

Publication date

2021-05-13

Copyright date

2021

ISSN

0278-0046

eISSN

1557-9948

Language

  • en

Depositor

Prof Lisa Jackson. Deposit date: 3 March 2022

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