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The development and application of techniques and methodologies for the analysis of power quality (PQ) signals that offer a more efficient and reliable analysis in terms of processing and performance(More)
Induction motors, key elements for industry, are susceptible to one or more faults at the same time; yet, they can keep working without affecting the process, but increasing the production costs. For(More)
Abstract Many applications related to modeling, control and condition assessment of smart structures require an accurate identification of natural frequencies and damping ratios. This identification(More)
This paper presents a new EEMD-MUSIC- (ensemble empirical mode decomposition-multiple signal classification-) based methodology to identify modal frequencies in structures ranging from free and(More)
Squirrel cage induction motors (SCIM) are the key machines in many industry applications. In this regard, the monitoring of their operating condition aiming at avoiding damage and reducing economical(More)
Fault detection in induction motors in non-stationary regimes managed by inverters is an existing industrialized demand. Inverter-fed machines have being used due to their adjustable velocity and(More)