Open Access Open Access  Restricted Access Subscription or Fee Access

Fault Diagnosis of Transformer Based on Dissolved Gases Analysis and Association Rules

Wenjing Zhang, Wei Yao, Donglai Ma

Abstract


Transformer is one of the most important equipment in power supply system. Early find and diagnosis the potential fault of the transformer can avoid huge economic losses caused by downtime. Timely and accurately determine the type, property and position of fault is of great significance to the power supply system. This paper used DGA to diagnose the transformer fault, and improved Apriori algorithm according to the relevant data characteristics and application requirement of diagnosis. The results show that, using association rules for fault diagnosis is feasible. And we can also establish the knowledge base to better analyze and handle the transformer fault.

Keywords


transformer, fault diagnosis, Association rule, Apriori, Dissolved Gases Analysis.

Full Text:

PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.