Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/42696
Title: High-resolution Spectral Analysis for Fault Detection on Induction Motors Fed by Variable-Speed Drives
Authors: Martin-Diaz, I
Morinigo-Sotelo, D
Duque-Perez, O
Garcia-Perez, A
Camarena-Martinez, D
Romero-Troncoso, R J
Keywords: Broken Rotor Bars;Fault Diagnosis;Induction Motors;Multiple Signal Classification;Variable-Speed Drives
Issue Date: Sep-2017
Publisher: NISCAIR-CSIR, India
Abstract: Early detection of rotor faults can prevent the occurrence of catastrophic failures that could interrupt the manufacturing process in critical industries that use different types of inverters. This paper studies the inverter-fed case by analyzing the stator signal with a high-resolution subspace technique for spectral analysis known as multiple signal classification (MUSIC). The technique is compared to the standard fast Fourier transform, showing outstanding advantages to reduce the appearance of false positives. The results show the differences in the detection of faults when five inverters are used, considering also the line supply.
Page(s): 545-549
URI: http://nopr.niscair.res.in/handle/123456789/42696
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.76(09) [September 2017]

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