Unsupervised Feature-Preserving CycleGAN for Fault Diagnosis of Rolling Bearings Using Unbalanced Infrared Thermal Imaging Sample.
Lujiale GuoJoon Huang ChuahWong Jee Keen RaymondXiaohui GuJie YaoXiangqian ChangPublished in: IEEE Access (2024)
Keyphrases
- fault diagnosis
- thermal imaging
- infrared
- monitoring and fault diagnosis
- condition monitoring
- expert systems
- neural network
- fault detection
- multi sensor
- infrared images
- operating conditions
- fuzzy logic
- gas turbine
- power transformers
- chemical process
- fault detection and diagnosis
- visible spectrum
- infrared imagery
- vibration signal
- multi sensor information fusion
- electronic equipment
- analog circuits
- multiple faults
- vein patterns
- feature vectors
- thermal infrared
- artificial intelligence
- focal plane
- invariant features
- feature set
- multiresolution
- target detection and tracking
- image processing