scispace - formally typeset
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.

Papers
More filters
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

An Empirical Demodulation for Electrical Fault Detection in Induction Motors

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.