Dynamic fault tree analysis based fault diagnosis system of power transformer

Jiang Guo; Lei Shi; Kefei Zhang; Kaikai Gu; Weimin Bai; Bing Zeng; Yajin Liu

doi:10.1109/WCICA.2012.6358400

Dynamic fault tree analysis based fault diagnosis system of power transformer

Jiang Guo^*, Lei Shi, Kefei Zhang, Kaikai Gu, Weimin Bai, Bing Zeng, Yajin Liu

^*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

4 Citations (Scopus)

Abstract

The process of transformer fault diagnosis and the theory of DFTA are first presented in this paper and then we apply DFTA to the field of transformer faults diagnosis. By establishing the fault tree of transformer, a practical, easily-extended, interactive and self-learning enabled fault diagnosis system based on DFTA for transformer is designed and implemented. With the implementation and application of the DFTA diagnosis system, it's easy to get a reasonable result from the computer with the help of experts. The practical results demonstrated that the system can highly improve the accuracy of transformer fault diagnosis and effectively improve the reliability and safety transformer which brings much economic benefits in return.

Original language	English
Title of host publication	WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation
Pages	3077-3081
Number of pages	5
DOIs	https://doi.org/10.1109/WCICA.2012.6358400
Publication status	Published - 2012
Externally published	Yes
Event	10th World Congress on Intelligent Control and Automation, WCICA 2012 - Beijing, China Duration: 6 Jul 2012 → 8 Jul 2012

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference	10th World Congress on Intelligent Control and Automation, WCICA 2012
Country/Territory	China
City	Beijing
Period	6/07/12 → 8/07/12

Keywords

DFTA
Fault Diagnosis System
Power Transformer

Access to Document

10.1109/WCICA.2012.6358400

Cite this

Guo, J., Shi, L., Zhang, K., Gu, K., Bai, W., Zeng, B., & Liu, Y. (2012). Dynamic fault tree analysis based fault diagnosis system of power transformer. In WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation (pp. 3077-3081). Article 6358400 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)). https://doi.org/10.1109/WCICA.2012.6358400

@inproceedings{15f4bebb853d4eaf8d3061d35293fe68,

title = "Dynamic fault tree analysis based fault diagnosis system of power transformer",

abstract = "The process of transformer fault diagnosis and the theory of DFTA are first presented in this paper and then we apply DFTA to the field of transformer faults diagnosis. By establishing the fault tree of transformer, a practical, easily-extended, interactive and self-learning enabled fault diagnosis system based on DFTA for transformer is designed and implemented. With the implementation and application of the DFTA diagnosis system, it's easy to get a reasonable result from the computer with the help of experts. The practical results demonstrated that the system can highly improve the accuracy of transformer fault diagnosis and effectively improve the reliability and safety transformer which brings much economic benefits in return.",

keywords = "DFTA, Fault Diagnosis System, Power Transformer",

author = "Jiang Guo and Lei Shi and Kefei Zhang and Kaikai Gu and Weimin Bai and Bing Zeng and Yajin Liu",

year = "2012",

doi = "10.1109/WCICA.2012.6358400",

language = "English",

isbn = "9781467313988",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

pages = "3077--3081",

booktitle = "WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation",

note = "10th World Congress on Intelligent Control and Automation, WCICA 2012 ; Conference date: 06-07-2012 Through 08-07-2012",

}

Guo, J, Shi, L, Zhang, K, Gu, K, Bai, W, Zeng, B & Liu, Y 2012, Dynamic fault tree analysis based fault diagnosis system of power transformer. in WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation., 6358400, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), pp. 3077-3081, 10th World Congress on Intelligent Control and Automation, WCICA 2012, Beijing, China, 6/07/12. https://doi.org/10.1109/WCICA.2012.6358400

Dynamic fault tree analysis based fault diagnosis system of power transformer. / Guo, Jiang; Shi, Lei; Zhang, Kefei et al.
WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation. 2012. p. 3077-3081 6358400 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - Dynamic fault tree analysis based fault diagnosis system of power transformer

AU - Guo, Jiang

AU - Shi, Lei

AU - Zhang, Kefei

AU - Gu, Kaikai

AU - Bai, Weimin

AU - Zeng, Bing

AU - Liu, Yajin

PY - 2012

Y1 - 2012

N2 - The process of transformer fault diagnosis and the theory of DFTA are first presented in this paper and then we apply DFTA to the field of transformer faults diagnosis. By establishing the fault tree of transformer, a practical, easily-extended, interactive and self-learning enabled fault diagnosis system based on DFTA for transformer is designed and implemented. With the implementation and application of the DFTA diagnosis system, it's easy to get a reasonable result from the computer with the help of experts. The practical results demonstrated that the system can highly improve the accuracy of transformer fault diagnosis and effectively improve the reliability and safety transformer which brings much economic benefits in return.

AB - The process of transformer fault diagnosis and the theory of DFTA are first presented in this paper and then we apply DFTA to the field of transformer faults diagnosis. By establishing the fault tree of transformer, a practical, easily-extended, interactive and self-learning enabled fault diagnosis system based on DFTA for transformer is designed and implemented. With the implementation and application of the DFTA diagnosis system, it's easy to get a reasonable result from the computer with the help of experts. The practical results demonstrated that the system can highly improve the accuracy of transformer fault diagnosis and effectively improve the reliability and safety transformer which brings much economic benefits in return.

KW - DFTA

KW - Fault Diagnosis System

KW - Power Transformer

UR - https://www.scopus.com/pages/publications/84872342223

U2 - 10.1109/WCICA.2012.6358400

DO - 10.1109/WCICA.2012.6358400

M3 - Conference Paper published in a book

AN - SCOPUS:84872342223

SN - 9781467313988

T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

SP - 3077

EP - 3081

BT - WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation

T2 - 10th World Congress on Intelligent Control and Automation, WCICA 2012

Y2 - 6 July 2012 through 8 July 2012

ER -

Dynamic fault tree analysis based fault diagnosis system of power transformer

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