The fault diagnosis of aircraft power system based on inverse problem of fuzzy optimization

Abstract

Aiming at the paroxysmal fault of aircraft power system, this paper proposes a new method based on inverse problem of fuzzy optimization and deduces the corresponding fault diagnosis model. Firstly, establish the hybrid model of aircraft power system by Petri net. Secondly, analyze the relationship between fault symptoms and fault causes. Thirdly, combine the inverse problem with fuzzy diagnosis theory and get the inverse problem model of fuzzy optimization, the problem of diagnosis amounts to solving a fuzzy relational equation. Finally, solve the fuzzy relational equation by the numerical analysis method and do fault diagnosis by several fuzzy diagnosis rules. A case study demonstrates that the proposed model is feasible.