Open-circuit fault diagnosis in voltage source inverter by using neighbourhood component analysis

Tao Chen; Xuchen Wang; Dongdong Kong; Qinyao Liu

doi:10.1109/ICEMS59686.2023.10345073

Open-circuit fault diagnosis in voltage source inverter by using neighbourhood component analysis

Tao Chen^*, Xuchen Wang^*, Dongdong Kong, Qinyao Liu

^*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Abstract

In VSI open-circuit fault diagnosis, the introduction of low-information features in the classification model reduces the recognition accuracy. To address this problem, this paper proposes an VSI open-circuit fault diagnosis method based on NCA. The NCA algorithm is used to obtain the feature weight ranking. Simulation results show that the recognition error is reduced from 0.9861 to 0.0139.

Original language	English
Title of host publication	2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1201-1205
Number of pages	5
ISBN (Electronic)	9798350317589
DOIs	https://doi.org/10.1109/ICEMS59686.2023.10345073
Publication status	Published - 2023
Event	26th International Conference on Electrical Machines and Systems, ICEMS 2023 - Zhuhai, China Duration: 5 Nov 2023 → 8 Nov 2023

Publication series

Name	2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023

Conference

Conference	26th International Conference on Electrical Machines and Systems, ICEMS 2023
Country/Territory	China
City	Zhuhai
Period	5/11/23 → 8/11/23

Keywords

Neighbourhood component analysis
Open-circuit fault diagnosis
Voltage source inverter

Access to Document

10.1109/ICEMS59686.2023.10345073

Cite this

Chen, T., Wang, X., Kong, D., & Liu, Q. (2023). Open-circuit fault diagnosis in voltage source inverter by using neighbourhood component analysis. In 2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023 (pp. 1201-1205). (2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEMS59686.2023.10345073

Chen, Tao ; Wang, Xuchen ; Kong, Dongdong et al. / Open-circuit fault diagnosis in voltage source inverter by using neighbourhood component analysis. 2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 1201-1205 (2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023).

@inproceedings{0289bc3a8d44469983deb60a75d02566,

title = "Open-circuit fault diagnosis in voltage source inverter by using neighbourhood component analysis",

abstract = "In VSI open-circuit fault diagnosis, the introduction of low-information features in the classification model reduces the recognition accuracy. To address this problem, this paper proposes an VSI open-circuit fault diagnosis method based on NCA. The NCA algorithm is used to obtain the feature weight ranking. Simulation results show that the recognition error is reduced from 0.9861 to 0.0139.",

keywords = "Neighbourhood component analysis, Open-circuit fault diagnosis, Voltage source inverter",

author = "Tao Chen and Xuchen Wang and Dongdong Kong and Qinyao Liu",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 26th International Conference on Electrical Machines and Systems, ICEMS 2023 ; Conference date: 05-11-2023 Through 08-11-2023",

year = "2023",

doi = "10.1109/ICEMS59686.2023.10345073",

language = "English",

series = "2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1201--1205",

booktitle = "2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023",

}

Chen, T, Wang, X, Kong, D & Liu, Q 2023, Open-circuit fault diagnosis in voltage source inverter by using neighbourhood component analysis. in 2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023. 2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023, Institute of Electrical and Electronics Engineers Inc., pp. 1201-1205, 26th International Conference on Electrical Machines and Systems, ICEMS 2023, Zhuhai, China, 5/11/23. https://doi.org/10.1109/ICEMS59686.2023.10345073

Open-circuit fault diagnosis in voltage source inverter by using neighbourhood component analysis. / Chen, Tao; Wang, Xuchen; Kong, Dongdong et al.
2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1201-1205 (2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Open-circuit fault diagnosis in voltage source inverter by using neighbourhood component analysis

AU - Chen, Tao

AU - Wang, Xuchen

AU - Kong, Dongdong

AU - Liu, Qinyao

PY - 2023

Y1 - 2023

N2 - In VSI open-circuit fault diagnosis, the introduction of low-information features in the classification model reduces the recognition accuracy. To address this problem, this paper proposes an VSI open-circuit fault diagnosis method based on NCA. The NCA algorithm is used to obtain the feature weight ranking. Simulation results show that the recognition error is reduced from 0.9861 to 0.0139.

AB - In VSI open-circuit fault diagnosis, the introduction of low-information features in the classification model reduces the recognition accuracy. To address this problem, this paper proposes an VSI open-circuit fault diagnosis method based on NCA. The NCA algorithm is used to obtain the feature weight ranking. Simulation results show that the recognition error is reduced from 0.9861 to 0.0139.

KW - Neighbourhood component analysis

KW - Open-circuit fault diagnosis

KW - Voltage source inverter

UR - http://www.scopus.com/inward/record.url?scp=85182315044&partnerID=8YFLogxK

U2 - 10.1109/ICEMS59686.2023.10345073

DO - 10.1109/ICEMS59686.2023.10345073

M3 - Conference Proceeding

AN - SCOPUS:85182315044

T3 - 2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023

SP - 1201

EP - 1205

BT - 2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 26th International Conference on Electrical Machines and Systems, ICEMS 2023

Y2 - 5 November 2023 through 8 November 2023

ER -

Chen T, Wang X, Kong D, Liu Q. Open-circuit fault diagnosis in voltage source inverter by using neighbourhood component analysis. In 2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 1201-1205. (2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023). doi: 10.1109/ICEMS59686.2023.10345073

Open-circuit fault diagnosis in voltage source inverter by using neighbourhood component analysis

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