Detection of dynamically inconsistent samples in measured signals

Measurements may contain dynamically inconsistent samples like transients or abrupt level changes. Although the duration of these effects is often short, the computed results derived from the measurements may be heavily corrupted. In order to be able to analyse only the stationary region of the signal, the detection of anomalies is needed. In this paper we introduce a method for detecting abrupt changes applying windowed moving variance computation technique.