AN ABDUCTIVE INFERENCE TECHNIQUE FOR FAULT-DIAGNOSIS IN ELECTRICAL-POWER TRANSMISSION NETWORKS

This paper introduces a system modeling concept and a new algorithm ba sed on abductive inference for handling diagnostic problems in electri cal power transmission networks, The overall technique relies on the i nherent functional and logical relationships between system elements s uch as lines, buses, relays and breakers to generate a diagnostic mode l rather than on experientially derived heuristics. This approach allo ws for a systematic implementation scheme that is more readily adapted to any power system, Logical models for relays, breakers, lines and b uses are presented along with examples on how these models can be inte rconnected to represent a power system, The resulting system model can simulate the ''forward'' behavior of a power system, Inputs to the fo rward model consist of disorders or disturbances, and the outputs are manifestations or alarms, Using abductive logic, a ''reverse'' system model can be generated, This system model takes the alarms as inputs a nd produces a diagnosis by generating sets of disorders or disturbance s that explain the observed alarms.