Ventilator Fault Diagnosis Based on Fuzzy Theory

Because of the complexity and coupling of rotating machinery structure, so that relativity and illegibility generally exist for the machinery faults, that is, these faults have following characteristics: several faults generating at the same time, intercrossing of fault reasons, fuzzy fault classification, uncertain failure probability, etc. In this paper, fuzzy theory is combined with fault tree and applied to ventilators fault diagnosis. The experiments prove that this method is simple and effective.