Improvement and Application of Fan Fault Diagnosis of Power Plant Based on Fuzzy Rules

In view of the nonlinear, fuzzy relationship between fan fault reason and fault symptom, put forward a kind of threshold diagnosis strategy combined with fuzzy rules and case reasoning. Using a fan fault vector through fuzzy fault diagnosis model to compare with a given threshold, then generate the initial fault solution set, and finally using case-based reasoning thinking, accurate fault location. Then we verify the method’s effectiveness through a fault analysis of fan rotor vibration. The results show that the combination with fuzzy rules and case reasoning can effectively solve the problem of multi factors of failure reasons.