@inproceedings{b0587104d65240fe91af64f9ebbd3b94,
title = "Improved shewhart chart for damage detection of structural health monitoring systems",
abstract = "In this paper, our objective is to propose a state estimation-based damage detection method to enhance monitoring of structural health systems. The proposed method, which is called particle filter (PF)-based Shewhart chart, combines the benefits of the state estimation technique with the Shewhart control chart. The main advantages of PF-based Shewhart are twofold: (i) The PF is proposed to estimate the nonlinear states of a structural health monitoring (SHM) systems; (ii) The Shewhart chart is proposed to detect damages in the mean in the SHM systems. The performance of the proposed method is proved through the three degree of freedom spring-mass-dashpot system and the effectiveness of the proposed method in damage detection is showed based on the presented results.",
keywords = "Damage detection, Particle filter, Shewhart chart, State estimation, Structural health monitoring",
author = "Marwa Chaabane and {Ben Hamida}, Ahmed and Majdi Mansouri and Hazem Nounou and Mohamed Nounou",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 4th International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2018 ; Conference date: 21-03-2018 Through 24-03-2018",
year = "2018",
month = may,
day = "23",
doi = "10.1109/ATSIP.2018.8364484",
language = "English",
series = "2018 4th International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--5",
booktitle = "2018 4th International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2018",
address = "United States",
}