Verification and Validation of Structural Health Monitoring Algorithms: A Maturation Procedure
Communication avec acte
Structural Health Monitoring (SHM) system offers new approaches to interrogate the integrity of structures. However, their reliability has still to be demonstrated an quantified to enable confidence transition from R&D to field implementation. In general, SHM algorithms performances are illustrated by topography study but it is not sufficient in a reliability assessment context. In the sense, that there is no quantification of the performance. To address this key issue, a dedicated maturation procedure is proposed in this paper. It is strongly inspired from the six sigma procedure for processes improvement to gradually improve SHM algorithms in order to reach the required maturity level. This paper presents the application of this procedure to a damage SHM localization algorithm as case study. To address this issue, finite element models and experimentation on the monitored structure have been used. It is concluded with a need of a new specific SHM algorithm intrinsic maturity scale. These maturity scales can be defined with respect to the functions of the considered SHM algorithm and the type of the used data.
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Communication avec acteHMAD, Ouadie; MECHBAL, Nazih; REBILLAT, Marc (International Workshop on Structural Health Monitoring, 2015)Structural Health Monitoring (SHM) system offers new approaches to interrogate the integrity of structures. The most critical step of such systems is the damage detection step since it is the first and because performances ...
Peaks Over Threshold–based detector design for structural health monitoring: Application to aerospace structures Article dans une revue avec comité de lectureREBILLAT, Marc; HMAD, Ouadie; KADRI, Farid; MECHBAL, Nazih (SAGE Publications (UK and US), 2018)Structural health monitoring offers new approaches to interrogate the integrity of complex structures. The structural health monitoring process classically relies on four sequential steps: damage detection, localization, ...
Communication avec acteFENDZI, Claude; MOREL, Julien; REBILLAT, Marc; GUSKOV, Mikhail; MECHBAL, Nazih; COFFIGNAL, Gérard (2014)This paper examines an important challenge in ultrasonic structural health monitoring (SHM), which is the problem of the optimal placement of sensors in order to accurately detect and localize damages. The goal of this ...
A General Bayesian Framework for Ellipse-based and Hyperbola-based Damage Localisation in Anisotropic Composite Plates Article dans une revue avec comité de lectureFENDZI, Claude; MECHBAL, Nazih; REBILLAT, Marc; GUSKOV, Mikhail (SAGE Publications, 2016)This paper focuses on Bayesian Lamb wave-based damage localization in structural health monitoring of anisotropic composite materials. A Bayesian framework is applied to take account for uncertainties from experimental ...