Výsledky vyhledávání - "SHM Principles"

Damage Detection Methods on Wind Turbine Blade Testing with Wired and Wireless Accelerometer Sensors

Autor: Mark Mollineaux, Konstantinos Balafas, Kim Branner, Per Hørlyk Nielsen, Angelo Tesauro, Anne Kiremidjian, Rajagopal Ramesh

Publikováno v: EWSHM-7th European Workshop on Structural Health Monitoring
EWSHM-7th European Workshop on Structural Health Monitoring, IFFSTTAR, Inria, Université de Nantes, Jul 2014, Nantes, France
Technical University of Denmark Orbit

International audience; Testing was performed on a 34 meter blade at a facility in DTU RisÀ Campus, featuring both wired accelerometers and lowpower MEMsbased wireless accelerometers. Testing was focused on an induced delamination area on the traili

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::449a424e95101b1acc55be44d28e15c8
https://hal.inria.fr/hal-01022037

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Cure Monitoring and SHM of Carbon Fiber Reinforced Polymer Part I : Impedance Analysis and Multiphysic Sensitivity

Autor: Mounkaila, Mahamadou, Camps, Thierry, Sassi, Sonia, Marguerès, Philippe, Olivier, Philippe, Escriba, Christophe, Fourniols, Jean-Yves

International audience; The high-performance composite materials based on carbon fiber are increasingly used in critical security areas (aeronautics, civil engineering). Thus, it is important to know their characteristics during curing process or the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::114a7230ba0e827e91ee9b7890650730
https://inria.hal.science/hal-01020396/document

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Effects of Enhanced Image Quality in Infrastructure Monitoring through Micro Aerial Vehicle Stabilization

Autor: Kuo, C. -H, Kanlanjan, S., Pagès, L., Menzel, H., Power, S., Kuo, C. -M, Boller, C., Sébastien Grondel

International audience; Traditional monitoring of large infrastructure such as towers of churches or for cooling, chimneys or any other type of tall buildings can require extreme effort and hence become very risky and costly since it mainly requires

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::edc3bb721833d495b2b618c39c274470
https://hal.inria.fr/hal-01020419/file/0446.pdf

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Structural Health Monitoring in a Buckled Beam Using Volterra Series

Autor: Hansen, C., Shiki, S. B., Samuel da Silva

International audience; This paper proposes a new method to detect damages in structures vibrating with nonlinear behavior. The approach proposed is based on Volterra series and can separate the linear and nonlinear contributions of the responses. An

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::48a286630f0b5a17eae0ce50b1b3126a
https://hal.inria.fr/hal-01022991

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Effective Structural Health Monitoring with Additive Manufacturing

Autor: Dieter De Baere, Maria Strantza, Michaël Hinderdael, Wim Devesse, Patrick Guillaume

International audience; The current remaining challenges for structural health monitoring (SHM) systems prevented the introduction of SHM systems on a large scale within industrial applications. An effective SHM system is required for the reduction o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1c28fe56add9ded945d4497b6431cbb9
https://hal.inria.fr/hal-01022995/document

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British Columbia Smart Infrastructure Monitoring System

Autor: Yavuz Kaya, Sharlie Huffman, Martin Turek, Carlos E. Ventura

This paper describes the architecture of a comprehensive seismic monitoring system developed in 2009 by the British Columbia Ministry of Transportation and Infrastructure (MoT) and the University of British Columbia, Canada. The main purpose of the B

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34588f759c049e43946fac208fcf4a8b
https://inria.hal.science/hal-01022984

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Repair Patch Monitoring with Embedded Optical Sensors by the Residual Strain Release

Autor: Frövel, Malte, Sanmillan, Javier, Maroto, José, Pintado, José María, Kressel, Iddo, Balter, Jonathan, Gorbatov, Nachum, Tur, Moshe

Repair of metal structures with carbon fibre reinforced plastic (CFRP) patches has a high potential for aeronautic structures. Bonded repairs with CFRP offer the advantage within others to repair in places where a standard riveted repair is not possi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______166::d71e2c77dcf6f96afb853dac92aac2b3
https://hal.inria.fr/hal-01021996

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Classifiation of Systems' Health Condition Using the New Adaptive Fuzzy-Based Feature Classification Approach AFFCA in Comparison to a Macro-Data-Based Approach

Autor: Schiffer, Sandra, Rothe, Sandra, Baccar, Dorra, Söffker, Dirk

Publikováno v: Scopus-Elsevier

In this contribution a recently developed new modeling and classification approach to be used with streamed measurement data of industrial processes is applied. This briefly repeated approach can be used for condition-based maintenance or structural

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d7268a744f8e670d278fd5fbeb84e858
https://hal.inria.fr/hal-01020457

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Probabilistic Damage Detection Based on Large Area Electronics Sensing Sheets

Autor: Yao, Yao, Glisic, Branko

Reliable early-stage damage detection and characterization requires continuous sensing over large areas of structure. The limitations with current sensing technologies lies in the fact that they either have high cost and insufficient spatial resoluti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e7b81ee2f41ad8b2a22e17b45ccb6a3d
https://hal.inria.fr/hal-01021208

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Wear-oriented state-of-health calculation and classification using operating data

Autor: Rothe, Sandra, Söffker, Dirk

Reliability and availability of technical complex and safety-critical systems are of increasing importance. The degree of wear as well as the quality of mechatronic systems are significant for the system reliability. To classify the machines state us

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a6f2d0d23f1eff8c3e316619ca8877ef
https://hal.inria.fr/hal-01021231

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