Data-driven bearing fault detection using hybrid autoencoder-LSTM deep learning approach.
Pooja KamatRekha SugandhiSatish KumarPublished in: Int. J. Model. Identif. Control. (2021)
Keyphrases
- fault detection
- deep learning
- data driven
- restricted boltzmann machine
- fault diagnosis
- industrial processes
- unsupervised learning
- fault identification
- unsupervised feature learning
- tennessee eastman
- failure detection
- fuel cell
- mental models
- weakly supervised
- machine learning
- power plant
- recurrent neural networks
- computer vision