INFORMATION FUSION BASED ON FUZZY LOGIC FOR DIAGONOSING ENGINE INJECTOR FAULTS

摘要

In this article, based on fuzzy logic inference analysis, in order to solve the non-linear and uncertain faults of engine problems, a new injector faults of engine diagnosis method based on multi-sensor information fusion is presented. Two kinds of signals are sampled, and are analyzed using load identification and wavelet packet methods. Eight features are extracted, and are put into fuzzy inference system. Through this method, the fault diagnosis accuracy is improved effectively.