Multi-Filter Clustering Fusion for Feature Selection in Rotating Machinery Fault Classification.
Mochamad SolichinYoojeong NohYoung-Jin KangSunhwa ParkJangwoo LeeSimon ChinPublished in: Sensors (2022)
Keyphrases
- feature selection
- rotating machinery
- high dimensionality
- fault diagnosis
- classification accuracy
- fault detection
- unsupervised learning
- text classification
- support vector
- feature space
- classification models
- class separability
- feature set
- unsupervised feature selection
- feature reduction
- data mining and pattern recognition
- data pre processing
- clustering method
- feature extraction
- support vector machine
- machine learning
- clustering algorithm
- feature selection algorithms
- mutual information
- wrapper method
- irrelevant features
- method for feature selection
- discriminative features
- text categorization
- feature level fusion
- feature vectors
- k means
- classification method
- dimensionality reduction
- high dimensional data
- simultaneous clustering
- real time
- classification performances
- redundant features
- artificial intelligence
- expert systems
- information fusion
- feature subset
- classification algorithm
- support vector machine svm