The Fault Diagnosis of Aircraft Generator using Fuzzy Petri Nets

Aircraft generator is the power conversion equipment transforming the engine energy to electric energy for all electro-equipment in airplane. Its right working state is a key factor to ensure airplane normal and secure. So fault diagnosis is the main study field of aircraft electric system. In the paper, the fuzzy Petri nets reasoning production rules is investigated and developed to deal with the condition of inadequate and uncertain information in the fault diagnosis of aircraft generator. The duality rule of fuzzy Petri nets is proposed. The novel method of fault diagnosis for aircraft generator is established by these algorithms. The application example is used to verify this method.