Power systems fault diagnosis using Petri nets

A fuzzy Petri net based approach for fault diagnosis in power systems considering temporal constraints

“…Enhanced with the well-established fuzzy logic, the fuzzy Petri nets (FPNs) [15][16][17][18][19][20], superior to the traditional Petri nets [21,22], are capable of modeling inexactness and uncertainties. Graphical FPN models are built in [16] for fault section identification, but the model structure is not optimized and the matrix execution algorithm is not addressed.…”

Complex System Fault Diagnosis Method Based on CFFPN

“…At present, a variety of fault diagnosis models have been established to describe the failure process of complex systems, such as Hidden Markov Model(HMM) [1], Gray Model(GM) [2], Bayesian Model [3], Back Propagation(BP) [4],Signed Directed Graph(SDG) [5], Multi-Signal Flow Graph(MSFG) [6,7], Petri-based Fault Diagnosis Model [8] and so on. Fault diagnosis and analysis method is divided into 3 development stages, i.e.…”

Fault Diagnosis Research for Power System Based on Timing Constraint Fuzzy Directed Graph

“…Of these approaches, expert systems [1][2]; artificial neural networks [3][4]; Petri nets [5][6]; optimization models [7]; Data Grid [8]; Cause-effect nets [9][10][11][12]; Bayesian networks [13] are the main methods. When obtaining the complete failure information, these methods can basically get satisfactory results [12].…”