A Probabilistic Bayesian Parallel Deep Learning Framework for Wind Turbine Bearing Fault Diagnosis.
Liang MengYuanhao SuXiaojia KongXiaosheng LanYunfeng LiTongle XuJinying MaPublished in: Sensors (2022)
Keyphrases
- fault diagnosis
- deep learning
- wind turbine
- monitoring and fault diagnosis
- fault detection
- neural network
- probabilistic model
- bp neural network
- bayesian networks
- expert systems
- condition monitoring
- fuzzy logic
- operating conditions
- analog circuits
- fault detection and diagnosis
- chemical process
- real time
- rbf neural network
- pattern recognition
- training data
- power generation
- power transformers
- fault identification
- unsupervised learning