A functional model based statistical time series method for vibration based damage detection, localization, and magnitude estimation

• Published in: Mechanical systems and signal processing Vol. 39; no. 1-2; pp. 143 - 161
• Main Authors: Kopsaftopoulos, F.P., Fassois, S.D.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.08.2013
• Subjects: Damage; Damage detection; Damage diagnosis; Damage identification; Damage quantification; Localization; Mathematical models; Position (location); Statistical time series methods; Structural health monitoring; Time series; Uncertainty; Vibration; iid; ARX; Damage identification; FP; Structural health monitoring; Damage diagnosis; NLS; OLS; X; SHM; GA; Damage quantification; BIC; WLS; VFP; Statistical time series methods; FEM; AR; FMBM; SSS; RSS; SQP; Damage detection; PE; FRF

A vibration based statistical time series method that is capable of effective damage detection, precise localization, and magnitude estimation within a unified stochastic framework is introduced. The method constitutes an important generalization of the recently introduced functional model based met...