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A Dynamic Integrated Fault Diagnosis Method for Power Transformers
Joint Authors
Bai, Cui-fen
Gao, Wen-Sheng
Liu, Tong
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-01-20
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
In order to diagnose transformer fault efficiently and accurately, a dynamic integrated fault diagnosis method based on Bayesian network is proposed in this paper.
First, an integrated fault diagnosis model is established based on the causal relationship among abnormal working conditions, failure modes, and failure symptoms of transformers, aimed at obtaining the most possible failure mode.
And then considering the evidence input into the diagnosis model is gradually acquired and the fault diagnosis process in reality is multistep, a dynamic fault diagnosis mechanism is proposed based on the integrated fault diagnosis model.
Different from the existing one-step diagnosis mechanism, it includes a multistep evidence-selection process, which gives the most effective diagnostic test to be performed in next step.
Therefore, it can reduce unnecessary diagnostic tests and improve the accuracy and efficiency of diagnosis.
Finally, the dynamic integrated fault diagnosis method is applied to actual cases, and the validity of this method is verified.
American Psychological Association (APA)
Gao, Wen-Sheng& Bai, Cui-fen& Liu, Tong. 2015. A Dynamic Integrated Fault Diagnosis Method for Power Transformers. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1078778
Modern Language Association (MLA)
Gao, Wen-Sheng…[et al.]. A Dynamic Integrated Fault Diagnosis Method for Power Transformers. The Scientific World Journal No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1078778
American Medical Association (AMA)
Gao, Wen-Sheng& Bai, Cui-fen& Liu, Tong. A Dynamic Integrated Fault Diagnosis Method for Power Transformers. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1078778
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1078778