A deep learning methodology based on adaptive multiscale CNN and enhanced highway LSTM for industrial process fault diagnosis.
Shuaiyu ZhaoYiling DuanNitin RoyBin ZhangPublished in: Reliab. Eng. Syst. Saf. (2024)
Keyphrases
- fault diagnosis
- deep learning
- industrial process
- industrial processes
- fault detection
- multiscale
- expert systems
- neural network
- fuzzy logic
- unsupervised learning
- gas turbine
- operating conditions
- image processing
- bp neural network
- machine learning
- weakly supervised
- chemical process
- multiple faults
- rbf neural network
- multi sensor information fusion
- monitoring and fault diagnosis
- recurrent neural networks
- wavelet transform
- mental models
- soft computing
- natural images
- learning strategies
- pattern recognition
- image segmentation
- knowledge base