Rolling Bearing Fault Diagnosis Based on Improved GAN and 2-D Representation of Acoustic Emission Signals.
Minh Tuan PhamJong-Myon KimCheol Hong KimPublished in: IEEE Access (2022)
Keyphrases
- fault diagnosis
- acoustic emission
- condition monitoring
- monitoring and fault diagnosis
- vibration signal
- fault detection
- expert systems
- neural network
- fuzzy logic
- power transformers
- bp neural network
- fault detection and diagnosis
- electronic equipment
- operating conditions
- rotating machinery
- multiple faults
- gas turbine
- chemical process
- industrial systems
- tennessee eastman
- multi modal
- artificial neural networks
- multiresolution
- decision support system
- electrical power systems
- power plant
- real time
- multi sensor information fusion