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The determination of transformer fault categories using soft-computing based techniques has been the subject of much research in the recent past. The development of an adaptive fuzzy classifier which can effectively determine various classes or categories of series and shunt impulse faults in a wide range of power transformers is described. The system employs a self-generating module to automatically derive a fuzzy rule base from predefined input and output memberslup functions (MFs) and adoi:10.1049/ip-gtd:20030012 fatcat:yfztwvwezrb73kbffmu5k5xod4