A NEW FAULT DIAGNOSIS MODEL CAPABLE OF DEALING WITH THE TEMPORAL INFORMATION OF ALARM MESSAGES
Wen Fushuan,Han Zhenxiang(Zhejiang University,310027,Hangzhou,China)
It has been recognized that the temporal information of alarm messages in power systems plays an important role in fault diagnosis.Regretfully,in the existing power system fault diagnosis methods the temporal knowledge has not been well explored.As an initial attempt,this paper presents a new fault diagnosis model capable of dealing with the temporal information of alarm messages based on the abductive inference model and parsimonious set covering theory. At first, a temporal graph is employed to represent the relationship among element fault, relevant alarms and their temporal information. In the temporal graph,each node denotes an alarm, and the directed arcs between nodes denote temporal precedence of these alarms. A 0-1 integer programming formulation is next established for describing this problem, and a solving algorithm based on the Tabu search (TS) technique is then presented.A simple example is used to demonstrate the correctness of the developed fault diagnosis model and the feasibility of the TS based algorithm.