Fault Diagnosis and Fault Frequency Determination of Permanent Magnet Synchronous Motor Based on Deep Learning.
Chiao-Sheng WangI-Hsi KaoJau-Woei PerngPublished in: Sensors (2021)
Keyphrases
- fault diagnosis
- permanent magnet synchronous
- deep learning
- fault detection
- neural network
- unsupervised learning
- expert systems
- fault detection and diagnosis
- weakly supervised
- unsupervised feature learning
- multi sensor information fusion
- operating conditions
- power transformers
- electronic equipment
- fault detection and isolation
- multiple faults
- machine learning
- rotating machinery
- fault tree
- condition monitoring
- rbf neural network
- fuzzy logic
- analog circuits
- tennessee eastman
- mental models
- chemical process
- power plant
- gas turbine
- denoising
- monitoring and fault diagnosis
- multiscale
- feature extraction