Vibration based health monitoring for a lightweight truss structure: Experimental assessment of several statistical time series methods

An experimental assessment of several vibration based statistical time series methods for structural health monitoring (SHM) is presented via their application to a lightweight aluminum truss structure. A concise overview of the main non-parametric and parametric methods is provided, including response-only and excitation–response schemes. Damage detection and identification is based on univariate (scalar) versions of the methods, while results for three distinct vibration measurement positions on the structure are presented. The methods’ effectiveness is assessed via multiple experiments under various damage scenarios. The results of the study confirm the high potential and effectiveness of statistical time series methods for SHM.