Feature Space Transformation for Fault Diagnosis of Rotating Machinery under Different Working Conditions.
Gye-Bong JangSung-Bae ChoPublished in: Sensors (2021)
Keyphrases
- rotating machinery
- fault diagnosis
- feature space
- fault detection
- operating conditions
- expert systems
- fault detection and diagnosis
- neural network
- bp neural network
- feature vectors
- monitoring and fault diagnosis
- electronic equipment
- fuzzy logic
- condition monitoring
- fault identification
- chemical process
- rbf neural network
- kernel function
- power transformers
- electrical power systems
- gas turbine
- industrial systems
- tennessee eastman
- multi sensor information fusion
- analog circuits
- failure diagnosis
- feature selection
- fault detection and isolation
- soft computing methods
- wavelet transform
- fault tree
- feature extraction
- decision making
- genetic algorithm