Unsupervised electric motor fault detection by using deep autoencoders.
Emanuele PrincipiDamiano RossettiStefano SquartiniFrancesco PiazzaPublished in: IEEE CAA J. Autom. Sinica (2019)
Keyphrases
- fault detection
- deep belief networks
- fault diagnosis
- deep learning
- industrial processes
- fault identification
- unsupervised learning
- denoising
- deep architectures
- condition monitoring
- tennessee eastman
- restricted boltzmann machine
- failure detection
- rotating machinery
- fuel cell
- neural network
- fault localization
- fault detection and diagnosis
- semi supervised
- fault detection and isolation
- power plant
- fault isolation
- robust fault detection
- search algorithm
- real time
- decision making
- machine learning