GMM-Aided DNN Bearing Fault Diagnosis Using Sparse Autoencoder Feature Extraction.
Andrei S. MaliukZahoor AhmadJong-Myon KimPublished in: IbPRIA (2022)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- feature extraction
- feature vectors
- gaussian mixture model
- speaker identification
- expert systems
- neural network
- fault detection
- fuzzy logic
- bp neural network
- chemical process
- operating conditions
- fault detection and diagnosis
- rbf neural network
- frequency domain
- multiple faults
- electronic equipment
- power transformers
- rotating machinery
- face recognition
- gas turbine
- multi sensor information fusion
- feature space
- analog circuits
- failure diagnosis
- industrial systems
- condition monitoring
- fault detection and isolation
- image processing
- fault identification
- wavelet transform
- feature selection
- denoising
- fault tree
- electrical power systems