@inproceedings{a7e582ae380e4198b7b53aa4d728918d,
title = "Damage detection in structural health monitoring using kernel PLS based GLR",
abstract = "The objective of this paper is to extend the applicability of the GLR method to a wide range of practical systems. Most real systems are nonlinear, multivariate, and are best represented by input-output type of models. Kernel partial least squares (KPLS) models have been widely used to represent such systems. Therefore, in this paper, kernel PLS-based GLR method will be utilized in practice to improve damage detection in Structural Health Monitoring (SHM). The developed kernel PLS-based GLR technique combines the benefits of the multivariate input-output kernel PLS model and the statistical fault detection GLR statistic which showed performance in the cases where process models are not available. GLR is a well-known statistical detection method that relies on maximizing the detection probability for a given false alarm rate. To calculate the kernel PLS model, we use the data collected from the complex 3DOF spring-mass-dashpot system. The simulation results show improved performance of kernel PLS-based GLR in damage detection compared to the classical kernel PLS method.",
keywords = "Damage Detection, Generalized Likelihood Ratio, Kernel Partial Least Squares, Structural Health Monitoring",
author = "Marwa Chaabane and Majdi Mansouri and Hazem Nounou and Mohamed Nounou and {Ben Slima}, Mohamed and {Ben Hamida}, Ahmed",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 3rd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2017 ; Conference date: 22-05-2017 Through 24-05-2017",
year = "2017",
month = oct,
day = "19",
doi = "10.1109/ATSIP.2017.8075555",
language = "English",
series = "Proceedings - 3rd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Hamida, {Ahmed Ben} and Basel Solaiman and Slima, {Ahmed Ben} and {El Hassouni}, Mohammed and Mohammed Karim",
booktitle = "Proceedings - 3rd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2017",
address = "United States",
}