PCDC: prototype-assisted dual-contrastive learning with depthwise separable convolutional neural network for few-shot fault diagnosis of permanent magnet synchronous motors under new operating conditions.
Minseok ChaeHyeongmin KimHye Jun OhChan Hee ParkChaehyun SuhHeonjun YoonByeng D. YounPublished in: J. Comput. Des. Eng. (2024)
Keyphrases
- fault diagnosis
- operating conditions
- expert systems
- neural network
- dc motor
- steady state
- control strategy
- high voltage
- bp neural network
- learning algorithm
- condition monitoring
- gas turbine
- genetic algorithm
- fault detection
- fault detection and diagnosis
- fuzzy logic
- support vector
- real time
- reinforcement learning
- power transformers
- multi sensor information fusion