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Titlebook: Structural Health Monitoring, Damage Detection & Mechatronics, Volume 7; Proceedings of the 3 Alfred Wicks,Christopher Niezrecki Conference

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Vehicle Tracking for Bridge Load Dynamics Using Vision Techniques,highway system. Most health monitoring systems rely on detecting the motion of the bridge through strain gauges, accelerometers and GPS units. These sensors are very good at measuring the output motion of the bridge, but do not take into account the input signal from the vehicles. Adding the ability
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Model Based System Testing: Bringing Testing and Simulation Close Together,eraction between simulation and test is constantly evolving, not in the least because it can be applied to model-based design engineering in the broad sense. Over time, new simulation methods have emerged and consequently, new approaches combining experimental and numerical methodologies are needed
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Vibration Control on a Space Flexible Structure with a PZT Stack Actuator Using Strain and MPPF Conand controlled with a dc motor as a flexible-like robotic system. For active vibration control is synthesized a combined control scheme, by using a PD with direct strain feedback control for regulation and trajectory tracking tasks, via the rigid joint, and a Multiple Positive Position Feedback (MPP
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Multi-Reference Time-Frequency Active Control of Vehicle Interior Road Noise,nd/or sound management. For the powertrain noise control, the ANC system only requires one reference signal (typically using tachometer signal) due to the fact that the powertrain response is functionally related to the engine rotational speed. Instead, the multi-reference ANC system is often requir
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Wireless Monitoring of the Dynamic Behavior of Railway Catenary Systems,f infrastructure that is designed for older and completely different scenarios. This is also true when considering the power supply to the electric railways where a two level catenary system is commonly used. For the power supply to be reliable and uninterrupted under higher speeds there must be str
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On the Influence of Sample Length and Measurement Noise on the Stochastic Subspace Damage Detection structure. In this study, these effects are formulated for the expected damage index evaluated from a Chi-square distributed value. Several theorems are proposed and proved. These theorems are used to develop a guideline to serve the user of the SSDD method to face these effects.
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