Notice of RetractionA Distributed Fault Diagnosis Approach in Power System Based on Fuzzy Reasoning Petri Net

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

There are some problems in fuzzy Petri net (FPN) applied to complex power systems fault diagnosis, inconformity parallel reasoning, dimension number of incidence matrix is too large, etc. So a distributed power system fault diagnosis based on fuzzy reasoning petri net is proposed, with much better flexibility and applicability, and give the fuzzy reasoning algorithm based on the representation formalism of max-algebra matrix operator. The method can reduce dimension number of incidence matrix and calculation, get all system state values after reasoning, and according to distributed fault diagnosis combined with fuzzy Petri net theory and its ability in describe concurrent system. It can get correct results from simple fault samples, complex fault samples or multiple faults samples simulation experiments, shows better fault tolerance, simple reasoning, fast fault diagnosis and so on, and it is an effective power system fault diagnosis method.