An Advanced Ensemble Impact Monitoring and Identification Technique for Aerospace Composite Cantilever Structures

Abstract : An investigation was performed to develop a real-time automatic health monitoring technique for the identification and prediction of the location and the force magnitude of foreign object impact on composite structures with distributed sensor network. In the smart ensemble impact identification (EII) technique proposed, it consists of four sequential procedures, which are the sensor signal preprocessing (SSP), the forward system modeling (FSM), the inverse model operator (IMO) and the impact positioning. Subsequently, in our experimental cases, we considered the disturbed factor ― random interfering noises, and added the cantilever support condition into our experimental tests of a CFRP plate structure, meanwhile, we also used the small balls with the different materials and masses as the impactors. However under the various impact situations and external noise environment, the predictions for the accuracy of impact forces and locations using the EII technique were validated, and the evaluated errors all fell well within the satisfactory limited range, and also interpreted the EII technique that is competent to reconstruct precisely the input-force signal due to stochastic impact event and estimate the impact location effectively in complex practical environment.
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Communication dans un congrès
Le Cam, Vincent and Mevel, Laurent and Schoefs, Franck. EWSHM - 7th European Workshop on Structural Health Monitoring, Jul 2014, Nantes, France. 2014
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Liang Si, Horst Baier. An Advanced Ensemble Impact Monitoring and Identification Technique for Aerospace Composite Cantilever Structures. Le Cam, Vincent and Mevel, Laurent and Schoefs, Franck. EWSHM - 7th European Workshop on Structural Health Monitoring, Jul 2014, Nantes, France. 2014. 〈hal-01022086〉

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