Hybrid attribute conditional adversarial denoising autoencoder for zero-shot classification of mechanical intelligent fault diagnosis.
Haixin LvJinglong ChenTongyang PanZitong ZhouPublished in: Appl. Soft Comput. (2020)
Keyphrases
- fault diagnosis
- denoising
- monitoring and fault diagnosis
- neural network
- fault detection
- industrial systems
- electronic equipment
- bp neural network
- expert systems
- gas turbine
- fault detection and diagnosis
- chemical process
- power transformers
- analog circuits
- multiple faults
- failure diagnosis
- multi sensor information fusion
- operating conditions
- power plant
- fuzzy logic
- condition monitoring
- support vector machine
- feature vectors
- rotating machinery
- support vector machine svm
- fault identification
- support vector
- image processing
- industrial applications
- rbf neural network
- multiresolution
- fault detection and isolation
- electrical power systems
- machine learning