Detection of weak transient signals based on unsupervised learning for bearing fault diagnosis.
Longting ChenGuanghua XuYi WangJianhua WangPublished in: Neurocomputing (2018)
Keyphrases
- fault diagnosis
- unsupervised learning
- monitoring and fault diagnosis
- weak signal
- expert systems
- neural network
- fault detection
- signal detection
- fuzzy logic
- operating conditions
- electronic equipment
- power transformers
- fault detection and diagnosis
- vibration signal
- rotating machinery
- fault identification
- bp neural network
- chemical process
- gas turbine
- supervised learning
- multiple faults
- failure diagnosis
- analog circuits
- industrial systems
- condition monitoring
- steady state
- machine learning
- power plant
- electrical power systems
- reinforcement learning
- multi sensor information fusion
- fault detection and isolation
- computational intelligence
- semi supervised
- tennessee eastman