Open-circuit fault diagnosis of power rectifier using sparse autoencoder based deep neural network.
Lin XuMaoyong CaoBaoye SongJiansheng ZhangYurong LiuFuad E. AlsaadiPublished in: Neurocomputing (2018)
Keyphrases
- fault diagnosis
- single phase
- neural network
- analog circuits
- wind turbine
- dc dc converter
- output voltage
- fault identification
- bp neural network
- power supply
- fault detection
- input output
- fuzzy logic
- expert systems
- control method
- rbf neural network
- gas turbine
- monitoring and fault diagnosis
- fault detection and diagnosis
- electronic equipment
- condition monitoring
- operating conditions
- electrical power systems
- control algorithm
- induction motor
- feedforward neural networks
- power transformers
- back propagation
- chemical process
- power dissipation
- digital circuits
- multiple faults
- real time
- bp algorithm
- rotating machinery
- wavelet transform
- prediction model
- restricted boltzmann machine
- artificial neural networks
- artificial intelligence
- activation function
- power plant
- multi sensor information fusion