Bayes-DCGRU with bayesian optimization for rolling bearing fault diagnosis.
Jiaocheng MaJinan ShangXin ZhaoZhong PengPublished in: Appl. Intell. (2022)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- fault detection
- neural network
- expert systems
- operating conditions
- fuzzy logic
- condition monitoring
- optimization algorithm
- fault detection and diagnosis
- electronic equipment
- chemical process
- rbf neural network
- analog circuits
- multi sensor information fusion
- failure diagnosis
- power transformers
- bp neural network
- gas turbine
- industrial systems
- rotating machinery
- electrical power systems
- artificial intelligence
- markov chain
- evolutionary algorithm
- fault identification
- support vector
- clustering algorithm