Unsupervised anomaly detection in railway catenary condition monitoring using autoencoders.
Hongrui WangPublished in: IECON (2020)
Keyphrases
- condition monitoring
- unsupervised anomaly detection
- anomaly detection
- semi supervised
- intrusion detection
- denoising
- fault diagnosis
- acoustic emission
- fault detection
- power transformers
- pattern mining
- nuclear power plant
- tool wear
- neural network
- decision support system
- restricted boltzmann machine
- real time
- fuzzy logic
- active learning
- artificial neural networks
- multiscale
- decision trees
- learning algorithm
- machine learning
- data sets