Statistical time series methods for damage diagnosis in a scale aircraft skeleton structure: loosened bolts damage scenarios

Abstract

A comparative assessment of several vibration based statistical time series methods for Structural Health Monitoring (SHM) is presented via their application to a scale aircraft skeleton laboratory structure. A brief overview of the methods, which are either scalar or vector type, non–parametric or parametric, and pertain to either the response–only or excitation–response cases, is provided. Damage diagnosis, including both the detection and identification subproblems, is tackled via scalar or vector vibration signals. The methods' effectiveness is assessed via repeated experiments under various damage scenarios, with each scenario corresponding to the loosening of one or more selected bolts. The results of the study confirm the "global" damage detection capability and effectiveness of statistical time series methods for SHM.