Temporal Abductive Reasoning based Intelligent Alarm for Power System

Abductive Reasoning is known as using domain theory to infer about reasons or explanations of observations and results. It is one basic inference mechanism for diagnosis problems. Abductive Reasoning based inference can find out causes and evolution processes, which are encouraging results for diagnosis. This paper develops the temporal relationship of faults and alarms in power grid, and raises a suit of abductive temporal reasoning algorithms to diagnose fault evolution process using observed alarms. The algorithms developed in this paper can recognize break alarms, exception alarms and missing alarms. The result of this paper can be taken as a function of intelligent alarm method for power system, and used with other methods for further fault diagnosis. The numerical test is given in the last part of paper.