Application of deep neural network and generative adversarial network to industrial maintenance: A case study of induction motor fault detection.
Yong Oh LeeJun JoJongwoon HwangPublished in: IEEE BigData (2017)
Keyphrases
- fault detection
- industrial processes
- neural network
- induction motor
- fault detection and diagnosis
- fault diagnosis
- fault identification
- closed loop
- robust fault detection
- tennessee eastman
- fault isolation
- pattern recognition
- neural network model
- network structure
- quality improvement
- back propagation
- failure detection
- decision support system
- computational intelligence
- artificial neural networks
- decision making