Unsupervised cross-domain rolling bearing fault diagnosis based on time-frequency information fusion.
Hongfeng TaoJier QiuYiyang ChenVladimir StojanovicLong ChengPublished in: J. Frankl. Inst. (2023)
Keyphrases
- cross domain
- monitoring and fault diagnosis
- fault diagnosis
- information fusion
- multi sensor information fusion
- expert systems
- neural network
- knowledge transfer
- data fusion
- fault detection
- text categorization
- fusion method
- fuzzy logic
- unsupervised learning
- fusion algorithm
- transfer learning
- bp neural network
- operating conditions
- semi supervised
- condition monitoring
- vibration signal
- soft computing
- e government
- supervised learning
- machine learning
- power plant
- computational intelligence
- knowledge discovery
- decision level
- genetic algorithm