Depth Prototype Clustering Method Based on Unsupervised Field Alignment for Bearing Fault Identification of Mechanical Equipment.
Yan ZhuXifeng LiangTiantian WangJingsong XieJinsong YangPublished in: IEEE Trans. Instrum. Meas. (2022)
Keyphrases
- clustering method
- fault identification
- unsupervised clustering
- underwater vehicles
- cluster analysis
- clustering algorithm
- hierarchical clustering
- fault detection
- fuzzy c means
- fault diagnosis
- similarity measure
- subspace clustering
- spatial clustering
- spectral clustering
- clustering analysis
- k means
- hierarchical clustering algorithm
- unsupervised learning
- document clustering
- affinity propagation
- machine learning
- fuzzy c means clustering
- clustering framework
- clustering approaches
- graph clustering
- dissimilarity measure
- supervised learning