Bayesian method for states estimation in structural health monitoring application

Marwa Chaabane, Majdi Mansouri, Nouha Jaoua, Ahmed Ben Hamida, Hazem Nounou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An important goal in structural health monitoring (SHM) is to identify the state of the structure in order to detect when damage occurs. In this paper, we tackle the state estimation problem in SHM systems. Therefore, a Bayesian approach based on particle filtering is proposed to perform the optimal online estimation. The proposed scheme relies on the introduction of an efficient importance density, based on the iterated square root central difference Kalman filter (ISRCDKF), which takes into consideration the current observation. The performance of this method is studied considering a complex three degree of freedom spring-mass-dashpot system. Simulation results show the efficiency of the suggested approach in terms of Root Mean Square Error (RMSE).

Original languageEnglish
Title of host publication2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages472-477
Number of pages6
ISBN (Electronic)9781467385268
DOIs
Publication statusPublished - 26 Jul 2016
Event2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016 - Monastir, Tunisia
Duration: 21 Mar 201624 Mar 2016

Other

Other2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016
CountryTunisia
CityMonastir
Period21/3/1624/3/16

Fingerprint

Structural health monitoring
State estimation
Kalman filters
Mean square error

Keywords

  • Iterated square root central difference Kalman filter
  • Kalman Filter
  • Particle filter
  • State Estimation
  • Structural health monitoring

ASJC Scopus subject areas

  • Signal Processing

Cite this

Chaabane, M., Mansouri, M., Jaoua, N., Ben Hamida, A., & Nounou, H. (2016). Bayesian method for states estimation in structural health monitoring application. In 2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016 (pp. 472-477). [7523119] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ATSIP.2016.7523119

Bayesian method for states estimation in structural health monitoring application. / Chaabane, Marwa; Mansouri, Majdi; Jaoua, Nouha; Ben Hamida, Ahmed; Nounou, Hazem.

2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 472-477 7523119.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chaabane, M, Mansouri, M, Jaoua, N, Ben Hamida, A & Nounou, H 2016, Bayesian method for states estimation in structural health monitoring application. in 2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016., 7523119, Institute of Electrical and Electronics Engineers Inc., pp. 472-477, 2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016, Monastir, Tunisia, 21/3/16. https://doi.org/10.1109/ATSIP.2016.7523119
Chaabane M, Mansouri M, Jaoua N, Ben Hamida A, Nounou H. Bayesian method for states estimation in structural health monitoring application. In 2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 472-477. 7523119 https://doi.org/10.1109/ATSIP.2016.7523119
Chaabane, Marwa ; Mansouri, Majdi ; Jaoua, Nouha ; Ben Hamida, Ahmed ; Nounou, Hazem. / Bayesian method for states estimation in structural health monitoring application. 2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 472-477
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