Unsupervised Anomaly Detection of Industrial Robots Using Sliding-Window Convolutional Variational Autoencoder.
Tingting ChenXueping LiuBizhong XiaWei WangYongzhi LaiPublished in: IEEE Access (2020)
Keyphrases
- sliding window
- industrial robots
- unsupervised anomaly detection
- restricted boltzmann machine
- anomaly detection
- semi supervised
- intrusion detection
- data streams
- deep learning
- space efficient
- window size
- fixed size
- pattern mining
- unsupervised learning
- image segmentation
- streaming data
- stream data
- window sizes
- limited memory
- active learning
- pairwise
- supervised learning
- variable size
- boyer moore
- hidden layer
- probabilistic graphical models
- data sets
- network traffic
- learning algorithm