A Fault Diagnosis Method Based on Adaptive Hierarchical Clustering

Aiming at the problem of fault diagnosis in the form of big data, based on the research of traditional hierarchical clustering algorithm, an adaptive hierarchical clustering algorithm is proposed, which makes full use of the collected training samples of existing fault patterns to realize the recognition and diagnosis of unknown fault patterns. The method in this paper has been applied to the fault diagnosis of bearing and achieved good results.