摘要
Expounds a partial discharge detection circuit and a microcomputer based partial discharge monitoring system. The importance of statistical phase position distribution of partial discharge events for failure diagnosis of power transformer and discusses an artificial neural network trained with φ q patterns for pattern recognition of partial discharge is discussed in detail, which is proved to be effective for on line monitoring.
