Fault diagnosis of power-shift system in continuously variable transmission tractors based on improved echo state network.
Guangming WangLijun XueYoufeng ZhuYehui ZhaoHonghua JiangJinxing WangPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- fault diagnosis
- echo state networks
- neural network
- expert systems
- operating conditions
- chemical process
- fault detection and diagnosis
- electronic equipment
- recurrent neural networks
- fuzzy logic
- fault detection
- bp neural network
- gas turbine
- rbf neural network
- multiple faults
- rotating machinery
- analog circuits
- power transformers
- real time
- industrial systems
- soft computing methods
- monitoring and fault diagnosis
- power consumption
- electrical power systems
- multi sensor information fusion
- fault diagnostic
- wind turbine
- information fusion
- artificial neural networks
- artificial intelligence