A novel deep learning approach for intelligent fault diagnosis applications based on time-frequency images.
Özgür GültekinEyup CinarKemal ÖzkanAhmet YaziciPublished in: Neural Comput. Appl. (2022)
Keyphrases
- fault diagnosis
- deep learning
- neural network
- expert systems
- fuzzy logic
- multiple faults
- image features
- input image
- fault detection
- industrial systems
- fault detection and diagnosis
- operating conditions
- machine learning
- gas turbine
- test images
- object recognition
- segmentation method
- unsupervised learning
- analog circuits
- image retrieval
- chemical process
- data fusion
- multiple images
- segmentation algorithm
- weakly supervised
- condition monitoring
- decision support system
- k means