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Luiz Carlos Sandoval Góes

Researcher at Instituto Tecnológico de Aeronáutica

Publications -  72
Citations -  617

Luiz Carlos Sandoval Góes is an academic researcher from Instituto Tecnológico de Aeronáutica. The author has contributed to research in topics: Modal analysis & Aeroelasticity. The author has an hindex of 11, co-authored 72 publications receiving 506 citations. Previous affiliations of Luiz Carlos Sandoval Góes include Aeronáutica.

Papers
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Multiphysics NVH Modeling: Simulation of a Switched Reluctance Motor for an Electric Vehicle

TL;DR: This paper presents a multiphysics modeling of a switched reluctance motor (SRM) to simulate the acoustic radiation of the electrical machine using a 2-D finite-element model of the motor to simulate its magnetic properties and aMultiphysics mechatronic model ofThe motor and controls to simulate operating conditions.
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Attitude and vibration control of a satellite containing flexible solar arrays by using reaction wheels, and piezoelectric transducers as sensors and actuators

TL;DR: In this article, a rigid-flexible satellite consisting of a rigid platform containing two rotating flexible solar panels is considered, where the attitude control is performed by three reaction wheels for attitude control and piezoelectric actuators to control the flexible motion of the solar arrays.
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The use of strain gauges in vibration-based damage detection

TL;DR: In this article, the use of vibration-based strain measurements for use in structural health monitoring (SHM) systems was evaluated, with the purpose of characterizing their higher sensitivity in damage detection, when compared to other vibration measurements, such as acceleration-based measurements.
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Vibration-based damage detection for a composite helicopter main rotor blade

TL;DR: In this paper, the authors presented experimental results of two damage detection techniques based on modal properties, with the application on a full-size composite helicopter main rotor blade, and remarks concerning sensitivity and robustness of the methods are discussed.
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Adaptive Stochastic Filtering for Online Aircraft Flight Path Reconstruction

TL;DR: In this paper, an adaptive extended Kalman filter is proposed to deal with time varying noise statistical properties using a new approach for an adaptive extension of the original Kalman Filter. But the proposed adaptive method is derived from the covariance matching technique, by employing filter residuals to adjust the noise statistics properties.