A machine-learning approach to setting optimal thresholds and its application in rolling bearing fault diagnosis.
Yao-Chi TangKuo-Hao LiPublished in: Mach. Learn. Sci. Technol. (2023)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- neural network
- fault detection and diagnosis
- expert systems
- fault detection
- multi sensor information fusion
- fuzzy logic
- bp neural network
- rbf neural network
- industrial systems
- gas turbine
- multiple faults
- chemical process
- probabilistic neural networks
- power transformers
- analog circuits
- fault identification
- electronic equipment
- rotating machinery
- failure diagnosis
- soft computing methods
- fault tree
- electrical power systems
- data fusion
- decision making