![Open Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextgreen.png)
![Restricted Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextred.png)
![Open Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextgreen.png)
![Open Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltext_open_medium.gif)
![Restricted Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextred.png)
![Restricted Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltext_restricted_medium.gif)
Diagnosis of Inter-Turn Fault in the Transformer Winding using Wavelet Based AI Approaches
Subscribe/Renew Journal
In this paper, Wavelet based ANFIS for finding the inter-turn fault of a transformer is proposed. The detector uniquely responds to the winding inter-turn fault with remarkably high sensitivity. Discrimination of different percentages of winding affected by inter-turn fault is provided via ANFIS having an eight dimensional input vector. This input vector is obtained from features extracted from DWT of inter-turn faulty current, leaving the transformer phase winding. Training data for ANFIS are generated via a simulation of transformer with inter-turn fault using MATLAB. The proposed algorithm using ANFIS gives more satisfactory performance than ANN and GABPN with selected statistical data of decomposed levels of faulty current.
Keywords
Winding Inter-Turn Fault, ANN, ANFIS, DWT, GABPN.
User
Subscription
Login to verify subscription
Font Size
Information
![](https://i-scholar.in/public/site/images/abstractview.png)
Abstract Views: 218
![](https://i-scholar.in/public/site/images/pdfview.png)
PDF Views: 0