Bearing Fault Diagnosis Using Modified Multi-scale Sample Entropy and One-against-rest Feature Selection.
Aisong QinHanling MaoMei LiuPublished in: CAA SAFEPROCESS (2021)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- multiscale
- feature selection
- mutual information
- neural network
- fault detection
- expert systems
- bp neural network
- chemical process
- gas turbine
- multiple faults
- electronic equipment
- feature extraction
- fuzzy logic
- edge detection
- operating conditions
- failure diagnosis
- image segmentation
- condition monitoring
- rotating machinery
- fault detection and diagnosis
- rbf neural network
- image processing
- feature space
- feature set
- fault detection and isolation
- electrical power systems
- power plant
- power transformers
- soft computing methods
- fault tree
- computational intelligence
- support vector machine
- machine learning
- fault identification
- data mining
- analog circuits
- tennessee eastman
- real time