Rolling Bearing Fault Diagnosis Based on Deep Adversarial Networks with Convolutional Layer and Wasserstein Distance.
Xin GaoRui YangEng Gee LimPublished in: ICAC (2022)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- expert systems
- neural network
- deep learning
- bp neural network
- fault detection and diagnosis
- rotating machinery
- rbf neural network
- fault detection
- fuzzy logic
- electronic equipment
- multiple faults
- chemical process
- electrical power systems
- condition monitoring
- fault identification
- failure diagnosis
- fault detection and isolation
- gas turbine
- power transformers
- network parameters
- operating conditions
- industrial systems
- deep belief networks
- restricted boltzmann machine
- soft computing methods
- network structure
- steam turbine
- machine learning