JOURNAL ARTICLE

Transformer fault diagnosis based on the improved D-S evidence theory

Abstract

To overcome the bad performance of marine transformer fault diagnosis, which induced by the reliability of symptom and the correlation with each other. Based on improved D-S evidence theory, a novel marine transformer fault diagnosis method is proposed in this paper. Firstly, the fault diagnosis model is established based on traditional D-S evidence theory. Secondly, the effective measuring for the reliability of symptom and the correlation with each other is sloved by information entropy and information energy. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.

Keywords:
Transformer Entropy (arrow of time) Reliability engineering Computer science Correlation Reliability (semiconductor) Fault (geology) Information theory Engineering Mathematics Statistics Electrical engineering Geology

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Citation History

Topics

Rough Sets and Fuzzy Logic
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Advanced Decision-Making Techniques
Physical Sciences →  Computer Science →  Information Systems
Advanced Computational Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
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