A Cross-Domain Stacked Denoising Autoencoders for Rotating Machinery Fault Diagnosis Under Different Working Conditions.
Shan PangXinyi YangPublished in: IEEE Access (2019)
Keyphrases
- rotating machinery
- denoising
- cross domain
- fault diagnosis
- fault detection
- operating conditions
- domain adaptation
- image processing
- knowledge transfer
- transfer learning
- fault detection and diagnosis
- neural network
- expert systems
- power transformers
- gas turbine
- wavelet packet
- fuzzy logic
- condition monitoring
- rbf neural network
- text categorization
- target domain
- monitoring and fault diagnosis
- analog circuits
- power plant
- chemical process
- intelligent systems
- multiple faults
- electronic equipment
- pairwise
- machine learning