Fault diagnosis for an HVDC system: A feasibility study of an expert system application

This paper discusses techniques to determine the type of fault in an HVDC system. These techniques are computationally fast and economical. Possible methodologies to develop knowledge-based systems using hypothesized methods for the pattern matching are presented.It was determined that more than one discriminant must be used to reach a desirable and reliable decision regarding the type of disturbance. In addition, a method for improving the resolution of the discriminants is discussed. Further, the influence of the sampling rate on the discriminant values is reported. Sixty-four samples/cycle over the duration of interest for calculating the discriminants was found to be good enough to provide the necessary information.