An introduction of a condition monitoring system of electrical equipment

To detect the incipient faults of electrical equipment effectively and reduce the loss when faults occur, a prototype of condition monitoring system has been developed. This system integrates the on-line and off-line diagnosis technology to monitor the condition of electrical equipment. Through the analysis of history data, electrical test data and on-line data, it can also make decisions for the maintenance of electrical equipment. The system consists four parts: ANN-based condition assessor; ANN based fault classifier; intelligent prediction and maintenance decision support system; and knowledge based expert system. Test results show that this system has a high diagnosis accuracy and can make useful maintenance decisions.