R
Robson Pederiva
Researcher at State University of Campinas
Publications - 55
Citations - 619
Robson Pederiva is an academic researcher from State University of Campinas. The author has contributed to research in topics: Surface roughness & Rotor (electric). The author has an hindex of 13, co-authored 51 publications receiving 455 citations.
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Detection of stator winding faults in induction machines using flux and vibration analysis
TL;DR: In this article, the authors presented the detection and diagnosis of electrical faults in the stator winding of three-phase induction motors using magnetic flux and vibration analysis techniques, and the experimental results showed the efficiency of the conjugation of these techniques for detection, diagnosis and monitoring tasks.
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Vibration analysis of cutting force in titanium alloy milling
TL;DR: In this article, the influence of the tool entering angle on the stability of the process and on tool life based on a time and frequency domain analysis of the cutting forces was studied. And the results showed that lower entering angles may provide stabler cutting, as indicated by the regular tool wear instead of the microchipping resulting from the use of a higher value of this angle.
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Correlating surface roughness, tool wear and tool vibration in the milling process of hardened steel using long slender tools
TL;DR: In this article, the authors used integral and indexable insert tools with different tool overhangs and different diameters to measure tool wear, workpiece surface roughness and cutting forces and correlated these parameters with the frequency response function obtained with the tools fixed in the machine tool.
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MEMS accelerometers for mechanical vibrations analysis: a comprehensive review with applications
TL;DR: A complete evaluation of the MEMS accelerometers was performed by measuring amplitudes and frequencies of oscillations and comparing their dynamic characteristics with other accelerometers with higher precision to propose these sensors for measuring mechanical vibrations.
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An Empirical Demodulation for Electrical Fault Detection in Induction Motors
Fabiano Bianchini Batista,Paulo Cezar Monteiro Lamim Filho,Robson Pederiva,Vinicius Augusto Diniz Silva +3 more
TL;DR: A very simple and empirical technique based only on the analysis of local extremes from a modulated time sequence to find a new time sequence that carries the wanted relevant fault data and results demonstrate the effectiveness of the proposed technique.