@inproceedings{ba1aa8b0034d4916b8bdbe3d8dc2aba4,
title = "Particle Filter-based Optimized Max Double Shewhart Chart for Damage Detection in Structural Health Monitoring Systems",
abstract = "The objective of this paper is to propose a new method to enhance process monitoring in Structural Health Monitoring. This method consists of a particle filter-based Optimized Max Double Shewhart (OM-DShewhart). This method combines the advantages of the Particle Filter (PF) and the advantages of the proposed control chart optimized Max Double Shewhart (OM-DShewhart) which consists of an extended version of the conventional Shewhart. The advantages of the proposed method are twofold: (i) The PF is proposed to estimate the states of a structural Health Monitoring system; (ii) the Optimized Max-DShewhart chart is proposed to detect damages shifts in the mean and in the variance in order to improve the monitoring of civil processes. The performance of the proposed method is demonstrated using the complex 3 DOF spring-mass-dashpot system.",
keywords = "Damage detection, Max double Shewhart chart, Optimization, Particle filter, Structural Health monitoring, state estimation",
author = "Marwa Chaabane and Hamida, {Ahmed Ben} and Majdi Mansouri and Hazem Nounou and Mohamed Nounou",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 19th IEEE Mediterranean Microwave Symposium, MMS 2019 ; Conference date: 31-10-2019 Through 02-11-2019",
year = "2019",
month = oct,
doi = "10.1109/MMS48040.2019.9157318",
language = "English",
series = "Mediterranean Microwave Symposium",
publisher = "IEEE Computer Society",
booktitle = "MMS 2019 - IEEE 19th Mediterranean Microwave Symposium",
address = "United States",
}