Fault Diagnosis Device Design of Transmission System with Partially Observed Petri Nets
The fault diagnosis method with the partially observed Petri nets is applied in the research of the substation transmission systems,which has some problems in unobserved events and unobserved states of the system.First,the system observation sequences are decomposed into elementary observation sequence of length 1.Linear matrix inequalities are used to compute the firing sequences consistent with each elementary observation sequence.Then,based on integer linear programming problem,the diagnosis range are broaden by using forward-backward function and parameter K limited the length of fault diagnosis sequence.Though analyzing the observation sequences that include some observable events the partial measurement of the successive states visited by the system,the fault diagnosis decision is given.To the end,the substation transmission system model are constructed with partially observed Petri nets,applying the proposed fault diagnosis algorithm to verify whether the fault occurs or not.This algorithm is suitable for on-line fault diagnosis,and the algorithm of linear-complexity is respect to the length of the observation sequences.
Partially Observed Petri Netsfault diagnosisinteger linear programmingsubstation transmission systembelief
NETL
NSTL
万方数据
维普
