Failure Diagnosis Analysis of Gas Blower Based on Nuclear Clustering Method

This paper studies the common faults of gas blower group and the vibration characteristics. Dynamic clustering analysis is performed on the matrix's calculation and transformed results using nuclear function technique. The automatic diagnosis system model based on dynamic nuclear clustering analysis is set up applying fuzzy diagnosis method. The model guarantees the accuracy for the fan vibration monitoring and fault diagnosis.