Fault Diagnosis of High-Speed Railway Turnout Based on Convolutional Neural Network.
Peng ZhangGuohua ZhangWei DongXinya SunXingquan JiPublished in: ICAC (2018)
Keyphrases
- fault diagnosis
- convolutional neural network
- high speed railway
- modeling method
- neural network
- face detection
- key technologies
- expert systems
- particle swarm
- fault detection
- monitoring and fault diagnosis
- virtual reality
- fuzzy logic
- rotating machinery
- rbf neural network
- fault detection and diagnosis
- bp neural network
- operating conditions
- chemical process
- puts forward
- power transformers
- electronic equipment
- multi sensor information fusion
- back propagation
- detection method
- energy saving
- object detection
- fuzzy neural network
- analog circuits
- gas turbine
- multiple faults
- particle swarm optimization algorithm
- information fusion
- multilayer perceptron
- particle swarm optimization
- computational intelligence
- artificial neural networks
- image processing
- machine learning