In: Proceedings of the 26th international conference on noise and vibration engineering, Leuven, 15–17 September.
Journal of Sound and Vibration 333(25): 7036– 7050., Garcia, D, Trendafilova, I ( 2014b) Singular spectrum analysis for identifying structural nonlinearity using free-decay responses: application detection and diagnosis in composite laminates. Mechanical Systems and Signal Processing 21(3): 1346– 1361., Garcia, D, Trendafilova, I ( 2014a) A multivariate data analysis approach towards vibration analysis and vibration-based damage assessment: application for delamination detection in a composite beam. NDT & E International 38(1): 3– 10., Galvanetto, U, Violaris, G ( 2007) Numerical investigation of a new damage detection method based on proper orthogonal decomposition. Mechanical Systems and Signal Processing 31: 382– 404., Asnaashari, E, Sinha, JK ( 2014) Crack detection in structures using deviation from normal distribution of measured vibration responses.
Journal of Sound and Vibration 330(4): 721– 742., Andreaus, U, Baragatti, P ( 2012) Experimental damage detection of cracked beams by using nonlinear characteristics of forced response. Andreaus, U, Baragatti, P ( 2011) Cracked beam identification by numerically analysing the nonlinear behaviour of the harmonically forced response. Numerical simulation studies are carried out to evaluate the proposed damage diagnostic algorithm and later complemented with experimental studies to demonstrate its practical application. A new damage index based on singular spectrum analysis exploiting the nonlinear harmonics and intermodulations in the response is proposed. The major advantage of using singular spectrum analysis is that it has the ability to reliably extract the nonlinear harmonics and intermodulation components buried in the noisy components of the response of the structure with breathing crack.