Complex System Fault Diagnosis Method Based on CFFPN

Abstract

Abstract. Considering the complexity of system structure and fault mechanism of complex system, a fault diagnosis method based on extended color fuzzy fault Petri net model is proposed (CFFPN) for civil aircraft. In order to increase the fault diagnosis efficiency, the CFFPN is modeled based on fuzzy mathematics and fault Petri net method through adding token, library and staining rules to describe the fault propagation. Fuzzy generated rules combined with matrix theory are utilized for fault diagnosis reasoning. CFFPN based reasoning algorithm is given. The validity of the proposed method is verified in one type aircraft pneumatic system.

A Maintenance and Troubleshooting Method Based on Integrated Information and System Principles

“…A multi-signal diagnostic model with nodes as a component unit and lines as a function connecting links between nodes was established based on a hierarchical modeling method and a graphical modeling method [19], [20]. An extended ambiguous Petri net model was developed based on Petri theory and fuzzy theory [21], [22]. A process dynamic digraph model was presented based on a symbolic digraph model and the system structure model [23], [24].…”