Unsupervised clustering of vibration signals for identifying anomalous conditions in a nuclear turbine.
Piero BaraldiFrancesco Di MaioMarco RigamontiEnrico ZioRedouane SeraouiPublished in: J. Intell. Fuzzy Syst. (2015)
Keyphrases
- unsupervised clustering
- vibration signal
- condition monitoring
- operating conditions
- supervised classification
- fault diagnosis
- image segmentation
- wavelet transform
- fault detection
- k means
- autoregressive
- clustering method
- median filter
- clustering algorithm
- multiresolution
- morphological filters
- genetic algorithm
- frequency band
- wavelet analysis
- fuzzy c means
- spectral clustering
- neural network
- extracted features
- document clustering
- cluster analysis
- denoising
- expert systems
- decision making
- computer vision
- artificial intelligence