TF-FDGAN: Unsupervised Bearing Fault Detection Based on Time-Frequency Transform and Generative Adversarial Networks.
Zixuan WeiJingbo MaBoyuan YangPublished in: SAFEPROCESS (2023)
Keyphrases
- fault detection
- industrial processes
- fault diagnosis
- fault identification
- unsupervised learning
- tennessee eastman
- failure detection
- condition monitoring
- fault detection and diagnosis
- robust fault detection
- fuel cell
- fault localization
- social networks
- co occurrence
- generative model
- decision support system
- semi supervised
- gas turbine
- wavelet transform
- machine learning
- power plant
- wavelet packet
- complex systems
- fault isolation
- genetic algorithm