Autonomous fault detection and diagnosis for permanent magnet synchronous motors using combined variational mode decomposition, the Hilbert-Huang transform, and a convolutional neural network.
Ma'd El-DalahmehMaher AlgreerImran BashirMo'ath El-DalahmehAykut DemirelOzan KeysanPublished in: Comput. Electr. Eng. (2023)
Keyphrases
- fault detection and diagnosis
- convolutional neural network
- induction motor
- hilbert huang transform
- fault diagnosis
- permanent magnet synchronous
- face detection
- fault detection
- empirical mode decomposition
- intrinsic mode functions
- feature extraction
- genetic algorithm
- image segmentation
- image processing
- face recognition
- wavelet packet