Combining OC-SVMs With LSTM for Detecting Anomalies in Telemetry Data With Irregular Intervals.
Junfeng WuLi YaoBin LiuZheyuan DingLei ZhangPublished in: IEEE Access (2020)
Keyphrases
- detecting anomalies
- anomaly detection
- telemetry data
- support vector
- multi dimensional time series
- international space station
- feature selection
- abnormal events
- data mining applications
- feature space
- recurrent neural networks
- failure diagnosis
- classification algorithm
- decision making
- knn
- knowledge discovery
- data sources
- space station
- data analysis
- genetic algorithm