This work aims at the experimental assessment of a number of statistical time series methods for Structural Health Monitoring (SHM). The main features and operation of the employed non-parametric and parametric methods are briefly reviewed. Their performance is subsequently assessed via laboratory experiments pertaining to damage detection and identification on a thin aluminum plate structure. The results of the study demonstrate the potential and effectiveness of the statistical time series SHM methods.