Combined classification models for bearing fault diagnosis with improved ICA and MFCC feature set.
Azim Naz M.R. SarathPublished in: Adv. Eng. Softw. (2022)
Keyphrases
- feature set
- classification models
- fault diagnosis
- monitoring and fault diagnosis
- feature extraction
- feature selection
- feature vectors
- random forest
- neural network
- fault detection
- independent component analysis
- expert systems
- fuzzy logic
- chemical process
- classification accuracy
- feature space
- gas turbine
- fault detection and diagnosis
- learning models
- face recognition
- operating conditions
- feature subset
- condition monitoring
- analog circuits
- multiple faults
- power transformers
- electronic equipment
- multi sensor information fusion
- kernel function
- class labels
- selected features
- audio features
- principal component analysis
- extracted features
- data sets
- feature selection algorithms
- image classification
- data mining
- rotating machinery