Anomaly Detection of Complex System
Jiang Jing-ping · Machine Tool & Hydraulics · 2008
Traditional fault diagnosis is to detect abnormal characters in the output signal,but in complex system,the final goal of anomaly detection is to forecast emerging behavior.The new trends of anomaly detection were discussed based on the development of complexity science.Three classification methods were presented and a series of detection algorithms were reviewed.A new idea of detection was introduced which is to improve the anomaly detection algorithms by understanding the system dynamics and capturing its hidden pattern.Result shows that symbolization and relational analysis is a novel approach which can provide many intelligent methods to explore the potential rules.But how to evaluate these methods and identify the parameters of system is very meaningful and difficult,which is the focus in the future work.