Abstract
Transformer fault detection during impulse tests has always been an important topic in power engineering. The accurate diagnosis of faults can significantly enhance the safety, reliability, and economics of power systems. Conventional procedures of fault diagnosis involved visual examination of the oscillographic records in time-domain and more recently applying the Fast Fourier Transform (FFT) algorithm to analyze the transformer ‘fingerprint’ in the frequency-domain. Actually, diagnostic interpretations were solely done by human experts using past knowledge and standard techniques. These methods though being straight forward, are prone to ambiguities and controversies—specially in the case of minor faults. In this paper, an expert system (ES) approach is adopted to develop a computer based intelligent technique for interpretation of minor impulse faults in distribution transformers.
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