An End-to-End Approach for Bearing Fault Diagnosis Based on a Deep Convolution Neural Network.
Liang ChenYuxuan ZhuangJinghua ZhangJianming WangPublished in: ICONIP (2) (2017)
Keyphrases
- end to end
- fault diagnosis
- neural network
- monitoring and fault diagnosis
- bp neural network
- fuzzy logic
- fault detection
- expert systems
- analog circuits
- congestion control
- operating conditions
- rbf neural network
- fault detection and diagnosis
- rotating machinery
- condition monitoring
- electronic equipment
- artificial neural networks
- power transformers
- gas turbine
- back propagation
- electrical power systems
- multiple faults
- bp algorithm
- genetic algorithm
- chemical process
- fault identification
- multi sensor information fusion
- probabilistic neural networks
- artificial intelligence
- real time