Implementation framework for an expert system for generator monitoring

This paper describes an implementation framework for an intelligent generator monitoring system. This solution is based on a high performance front-end data acquisition system and real-time processing of electrical signals and contacts from related protective relays, circuit breakers, and switches. Based on this data, the system performs continuous monitoring of the electrical part of the generator and informs operators of any deviations from the normal operating conditions. The monitoring involves automated comparison and evaluation of several input quantities according to the rules defined by the experts. The system is implemented using a PC interfaced to an advanced digital fault recorder.