Detection Of Winding Deformation In TNB Distribution In Service Transformer Using Cross Correlation Co-Efficient Analysis Method

Ahmad Faris Firdaus, Mohd Zahidi (2012) Detection Of Winding Deformation In TNB Distribution In Service Transformer Using Cross Correlation Co-Efficient Analysis Method. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Detection of minor faults in power transformer active part is essential since minor faults may develop and become wet and finally irretrievable damages occur. Sweep Frequency Response Analysis (SFRA) is an effective low-voltage, off-line diagnostic tool used for finding out any possible winding displacement or mechanical deterioration inside the Transformer, due to large electromechanical forces occurring from the fault currents or due to Transformer transportation and relocation. In this method, the frequency response of a transformer is taken both in manufacturing industry and concern site. Then both responses are compared to predict the fault taken place in active part. But in conventional transformers, the primary reference response is unavailable. So Cross Correlation Coefficient (CCF) measurement technique can be a vital process for fault detection in these transformers. In this project, theoretical background of SFRA technique has been elaborated, the effectiveness of CCF parameter for fault detection has been represented. This project describes the use of Cross Correlation Coefficient (CCF) in conjunction with Omicron FRAnalyzer‟s software as a method. The simulations are demonstrated to apply with the purpose of frequency analysis band.

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