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EWSHM 2016 |Website|

8th European Workshop on Structural Health Monitoring (EWSHM 2016), July 5-8, 2016 in Bilbao, Spain

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Search Results: 341 in Date '2016-08-01'
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Exhibitors (4)
Hillger Ing. B.. 1
TWI Ltd (The W.. 3
Title / Author(s) / Keywords Session
Sensors other than PZT and FOS
Investigating the Performance of OEM Devices for Structural Monitoring
F. Casciati16, S. Casciati25, L. Fararelli1, M. Vece13
1DICAr ; University of Pavia7, Pavia, Italy
2DICAr, School of Architecture; University of Catania6, Catania, Italy
Other Methods, civil engineering, vibration analysis, sensor, vibration, Wireless sensors, OEM

Sensors other than PZT and FOS
Nonlinear Acoustics for Structural Health Monitoring – Classical vs. Non-classical Approaches
W. Staszewski17
Deaprtment of Robotics and Mechatronics; AGH- University of Science and Technology62, Krakow, Poland
Ultrasonic Testing (UT), composite, defect characterization, guided waves (lamb waves), Piezoelectric sensors, impact damage detection, crack detection, nonlinear acoustics, non-classical approach

Self-sufficient and self-contained sensing for local monitoring of in-situ bridge structures
H. Sohn113, H. Lim12, J. Kim1, S. Yang1, J. Lee12, Y. Kim1, P. Liu14, Y. Jang1, G. Moon1, Y. Yi1, K. Daewoo1, J. Kim2, S. Jung2
1aDepartment of Civil and Environmental Engineering bDepartment of Future Vehicle cDepartment of Electrical Engineering; Korea Advanced Inspection Technology (KAITEC)16, Daejeon, South Korea
2Department of Electrical and Computer Engineering; Seoul National University4, Seoul, South Korea
civil engineering, Fatigue crack detection, Post-tension cable monitoring, Local monitoring

Design of Multifunctional Structural Batteries with Health Monitoring Capabilities
F. Chang5
Aeronautics & Astronautics; Stanford University12, Palo Alto, CA, USA
aerospace, batteries

The certification of SHM systems in aeronautical sector
I. Eiriz, J. Guerediaga5, P. Venegas15, A. Montero3, I. Goñi, I. Sáez de Ocáriz5
Aeronautical Technology Centre (CTA)18, Minano, Spain
Certification, aerospace, SHM, Standard, Aernautics,

Engine Health Monitoring
I. Ulizar
Industria de Turbo Propulsores SA , Madrid, Spain
aerospace, engines, Aircraft

Wind Turbine Monitoring for Control Versions Comparison
J. Perez-Campion
Iberdrola Generacion2, Madrid, Spain
Lifetime Management, control versions, Wind turbines

Aerospace structures: Modeling, Verification & Validation
Correlation of Structural Lifetime to Mission Utilization for Military Aircraft
J. Newcamp, W. Verhagen2, R. Curran
Air Transport & Operations; Delft University of Technology (TU Delft)26, Delft, Netherlands
embedded sensor, condition monitoring, Lifetime Management, End-of-Life, Fleet Optimization, Aging Aircraft, Aircraft Monitoring

Aerospace structures: Modeling, Verification & Validation
Aerospace structures: Modeling, Verification & Validation
Multi-level repair decision-making process for composite structures
V. Dhanisetty, W. Verhagen2, R. Curran
Aerospace Engineering - Air Transport & Operations; Delft University of Technology (TU Delft)26, Delft, Netherlands
statistical analysis, aerospace, composite, condition monitoring, In-Service Inspection, Probabilistic and stochastic modelling, Proof of concept (SHM in action)

Aerospace structures: Modeling, Verification & Validation
Aerospace structures: Modeling, Verification & Validation
Landing Gear Structural Health Prognostic/Diagnostic System
C. Forrest12, A. Molina2
1Chad Forrest,; ES3 Inc.3, Clearfield, UT, USA
2U.S. Navy Naval Air Systems Command (NAVAIR)6, Patuxent River, MD, USA
embedded sensor, Modeling and Simulation, aerospace, condition monitoring, In-Service Inspection, Lifetime Management, Proof of concept (SHM in action),

Aerospace structures: Modeling, Verification & Validation
Aerospace structures: Modeling, Verification & Validation
Data based classifiers for identification of aircraft landing characteristics
G. Holmes1, A. Thomas2, W. Capener2, K. Worden115, E. Cross18
1Mechanical Engineering; Sheffield University31, Sheffield, United Kingdom
2Messier-Dowty Ltd.2, Gloucester, United Kingdom
Modeling and Simulation, aerospace, Feature Extraction, Probabilistic and stochastic modelling,

Aerospace structures: Modeling, Verification & Validation
Aerospace structures: Modeling, Verification & Validation
Further Results Of Lamb Waves Approach To Assess Corrosion Damage In An Aeronautical Aluminum Alloy
G. Prado, A. Tamba2, F. Dotta2, L. Vieira, R. Rulli3, G. Silva, J. Costa
Embraer S.A.3, São José dos Campos, Brazil
Piezoelectric sensors, Lamb Waves, Corrosion, Aircraft, POD, Aluminum

Aerospace structures: Modeling, Verification & Validation
Aerospace structures: Modeling, Verification & Validation
Development of Structural Health and Load Monitoring System and its Implementation into an Aircraft Flying Demonstrator
M. Lilov, T. Siebel2, C. Contell Asins2, O. Schwarzhaupt2, V. Carli
Department of Reliability and System Integration; Fraunhofer Institute for Structural Durability and System Reliability LBF8, Darmstadt, Germany
Ultrasonic Testing (UT), embedded sensor, aerospace, optical fiber sensor, Piezoelectric sensors, Experimental Investigation, Aircraft Implementation, Broadband Acousto-Ultrasonic, Fiber Bragg Grating Sensor, Piezoelectric Sensor, Load Monitoring, Structural Health Monitoring, Carbon Fiber Reinforced Plastic

Aerospace structures: Modeling, Verification & Validation
Aerospace structures: Modeling, Verification & Validation
Integrated SHM for aircraft wing and fuselage with built-in and mobile UPI systems in Smart Hangar
H. Shin2, D. Bae, J. Lee14
aAeroapace engineering bDepartment of Aerospace Engineering; Chonbuk National University (CBNU)18, Jeonju, South Korea
aerospace, image processing, guided waves (lamb waves), Piezoelectric sensors, Proof of concept (SHM in action)

Aerospace structures: Modeling, Verification & Validation
Aerospace structures: Modeling, Verification & Validation
Probability-based damage assessment on a composite door surrounding structure
M. Moix Bonet12, B. Eckstein28, P. Wierach19
1Deutsches Zentrum für Luft- und Raumfahrt (DLR), German Aerospace Center35, Braunschweig, Germany
2Airbus Operations GmbH66, Bremen, Germany
aerospace, composite, guided waves (lamb waves), Feature Extraction, Piezoelectric sensors, SARISTU

Aerospace structures: Modeling, Verification & Validation
Aerospace structures: Modeling, Verification & Validation
Damage Precise Localization on an Aircraft Stabilizer Structure via Few Vibration Sensors and Low Frequency Bandwidth
C. Sakaris3, J. Sakellariou7, S. Fassois11
Department of Mechanical Engineering & Aeronautics; University of Patras45, Patras, Greece
aerospace, vibration analysis, data based methods, statistical methods, vibration based SHM, damage localization

Aerospace structures: Modeling, Verification & Validation
Aerospace structures: Modeling, Verification & Validation
Fatigue crack quantification approach based on multi-path unit-cell concept in sensor network
V. Janapati12, S. Yadav1, R. Ikegami1, E. Habtour23
1Acellent Technologies, Inc.2, Sunnyvale, CA, USA
2Vehicle Technology Directorate; US Army Research Laboratory8, Aberdeen Proving Ground (APG), MD, USA
Ultrasonic Testing (UT), aerospace, defect characterization, fatigue cracks, In-Service Inspection, guided waves (lamb waves), Cracks, damage detection, Piezoelectric sensors, damage progression, unit cell

Aerospace structures: Modeling, Verification & Validation
Aerospace structures: Modeling, Verification & Validation
Dynamic strain distribution monitoring of 5.5 m CFRP blade using 5 m FBGs interrogated by optical frequency domain reflectometry
D. Wada2, H. Igawa2, T. Kasai
Aeronautical Technology Directorate; Japan Aerospace Exploration Agency6, Kanagawa, Japan
optical fiber sensor, dynamic measurement, distributed strain measurement, Composites

Aerospace structures: Modeling, Verification & Validation
Aerospace structures: Modeling, Verification & Validation
Lamb-wave-based monitoring of the aircraft during full-scale fatigue experiment - results and conclusions
Z. Dworakowski15, K. Dragan216, T. Stepinski127, T. Uhl128
1Department of Robotics and Mechatronics; AGH- University of Science and Technology62, Krakow, Poland
2Air Force Institute of Technology34, Warsaw, Poland
neural network, aerospace, condition monitoring, guided waves (lamb waves), Temperature compensation, ANN, Aircraft, Guided waves, ANN Ensembles

Aerospace structures: Modeling, Verification & Validation
Aerospace structures: Modeling, Verification & Validation
Elastic Waves Simulation on Aircraft Subcomponent for test correlation using piezoelectric sensors
F. Sánchez Iglesias, R. Tejerina, J. García-Alonso4, P. Caffyn, M. Iglesias-Vallejo
Airbus Defence & Space, Military Aircraft11, Getafe, Spain
aerospace, composite, guided waves (lamb waves), Piezoelectric sensors, Modeling and Simulation, elastic waves, tests, simulation, SHM

Aerospace structures: Modeling, Verification & Validation
 
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