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<dc:title>Detection of Broken Rotor Bars in Nonlinear Startups of Inverter-Fed Induction Motors</dc:title>
<dc:creator>Fernández Cavero, Vanesa</dc:creator>
<dc:creator>Pons Llinares, Joan</dc:creator>
<dc:creator>Duque Pérez, Óscar</dc:creator>
<dc:creator>Morinigo Sotelo, Daniel</dc:creator>
<dc:subject>Fault detection</dc:subject>
<dc:subject>Induction motors (IM)</dc:subject>
<dc:subject>Inverters</dc:subject>
<dc:subject>Rotors</dc:subject>
<dc:subject>Time-frequency domain analysis</dc:subject>
<dc:description>Fault detection in induction motors powered by inverters operating in nonstationary regimes remains a challenge.&#xd;
The trajectory in the time–frequency plane of harmonics related&#xd;
to broken rotor bar develops very in proximity to the path described by the fundamental component. In addition, their energy is much lower than the amplitude of the first harmonic. These two&#xd;
characteristics make it challenging to observe them. The Dragon&#xd;
Transform (DT), here presented, is developed to overcome the&#xd;
described problem. In this article, the DT is assessed with nonlinear&#xd;
inverter-fed startups, where its high time and frequency resolutions&#xd;
facilitate the monitoring of fault harmonics even with highly adjacent trajectories to the first harmonic path.</dc:description>
<dc:date>2025-01-16T12:01:46Z</dc:date>
<dc:date>2025-01-16T12:01:46Z</dc:date>
<dc:date>2021-03</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:identifier>0093-9994</dc:identifier>
<dc:identifier>http://hdl.handle.net/10259/9945</dc:identifier>
<dc:identifier>10.1109/TIA.2021.3066317</dc:identifier>
<dc:identifier>1939-9367</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>IEEE Transactions on Industry Applications. 2021, V. 57, n. 3, p. 2559-2568</dc:relation>
<dc:relation>https://doi.org/10.1109/TIA.2021.3066317</dc:relation>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:publisher>Institute of Electrical and Electronics Engineers</dc:publisher>
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