Ventilator Fault Diagnosis Based on Fuzzy Theory

Fault diagnosis has been the research hotspot in the industry fields. It has a practical significance to discuss the effective fault diagnosis methods. Aiming at the fuzzy and random features of the occurrence probabilities, this paper presents a hybrid method that combines the fault tree with fuzzy set theory.In this approach, fuzzy aggregation and defuzzification are adopted and this method is used in ventilator fault diagnosis. The research shows that this method is feasible and effective and can be applied to the other rotating machinery fault diagnosis.