Anomaly detection of spacecraft based on least squares support vector machine

Anomaly detection is to identify abnormal behaviors of a system. It plays an important role in Prognostics and System Health Management (PHM) which is applied to monitor spacecraft's performance, detect faults, identify the root cause of the fault, and predict the remaining useful life (RUL) in order to increase safety and reduce downtime of spacecraft in—orbit.