Early Fault Detection of Machine Tools Based on Deep Learning and Dynamic Identification.
Bo LuoHaoting WangHongqi LiuBin LiFangyu PengPublished in: IEEE Trans. Ind. Electron. (2019)
Keyphrases
- fault detection
- deep learning
- fault detection and isolation
- fault diagnosis
- industrial processes
- fault isolation
- fault identification
- tennessee eastman
- unsupervised learning
- failure detection
- unsupervised feature learning
- fuel cell
- condition monitoring
- fault localization
- learning strategies
- weakly supervised
- machine learning
- neural network
- mental models
- co occurrence
- association rules
- pattern recognition
- multiscale