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On-board Decision Making Platform for Structural Health Monitoring

Communication avec acte
Author
BARTHES, Clément
461 Laboratoire de chimie de coordination [LCC]
MOSALAM, Khalid
ccMECHBAL, Nazih
59131 Laboratoire de Mécanique des Systèmes et des Procédés [LMSP]
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
ccRÉBILLAT, Marc
1167 Laboratoire de Mécanique des Solides [LMS]
247329 Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur [LIMSI]

URI
http://hdl.handle.net/10985/12378
Date
2017

Abstract

The ability to monitor the health of complex structures such as aeronautic or civil engineering structures in real time is becoming increasingly important. This process is referred to as structural health monitoring (SHM) and relies on onboard platforms comprising sensors, computational units, communication resources, and sometimes actuators. Many of such platforms have been developed within the last years but there is still a lack of structuration and knowledge exchange regarding the software and hardware architectures of such platforms. The aim of the present paper is to introduce an open hardware and open software platform dedicated to SHM within the fields of aeronautics and civil engineering. The platform presented here will be made available in an open hardware and open source framework to allow SHM researchers to run concurrent detection, localization, classification or quantification algorithms using simple interpreted languages such as Python.

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