Fault Diagnosis of Rotating Equipment Unbalance Problem Based on Denoising Stacked Autoencoders.
Peijian ZengNankai LinJianghao LinAimin YangLiheng HouMaohua LuPublished in: ICIC (LNAI 4) (2024)
Keyphrases
- denoising
- fault diagnosis
- image denoising
- neural network
- natural images
- expert systems
- fault detection
- fuzzy logic
- image processing
- multiple faults
- bp neural network
- rbf neural network
- operating conditions
- failure diagnosis
- gas turbine
- power transformers
- chemical process
- wavelet packet
- noise removal
- fault detection and diagnosis
- fault tree
- industrial systems
- condition monitoring
- rotating machinery
- electrical power systems
- fault identification
- monitoring and fault diagnosis
- multi sensor information fusion
- analog circuits
- fault detection and isolation
- class distribution
- soft computing methods
- electronic equipment
- neural network model
- edge detection
- artificial intelligence
- genetic algorithm