Anomaly detection with improved similarity measure for satellite telemetry data

作者：Liu Datong; Wang Shaojun; Chen Jing; Zhou Jun; Peng Yu

来源：22nd ISSAT International Conference on Reliability and Quality in Design, 2016-08-04 to 2016-08-06.

• Anomaly detection
• Anomaly detection frameworks
• Dynamic capabilities
• Dynamic time warping
• Hier-archical clustering
• Multiple dimensions
• Satellite telemetry data
• Telemetry data

Anomaly detection with telemetry data can discover potential failure in advance and improve the operating safety for satellite. Most of the former studies used Euclidean distance to measure the similarity of telemetry data which are typical time series. However, the Euclidean distance has many limitations such as lacking of dynamic capability and stability with correlation relationship for multiple dimensions. Therefore, different improved data distance measures are studied for telemetry data mining in this paper. Then, an improved anomaly detection framework with different similarity measures is presented. We achieve the anomaly detection to satellite telemetry data based on the hierarchical clustering and improved similarity measures. Experimental results show that the proposed anomaly detection framework can obtain satisfied performance on the actual satellite telemetry data sets.

• 出版日期2016