NDLI: Application of higher order spectral analysis for faults detection in induction motors

Content Provider	IEEE Xplore Digital Library
Author	Armenta-Loredo, M.A. Ibarra-Manzano, O.G.
Copyright Year	2013
Description	Author affiliation: Univ. de Guanajuato, Guanajuato, Mexico (Armenta-Loredo, M.A.; Ibarra-Manzano, O.G.)
Abstract	Detection and identification of induction machine faults through the stator current signal using higher-order spectra analysis is presented. This research proposes two types of engine failures that are broken rotor bars, and rotor unbalance. Several conventional vibration and current analysis techniques exist by which certain faults in rotating machinery can be identified; however, they generally deal with a single fault only. Instead, in real induction machines, the case of multiple faults is common. When multiple faults exist, vibration and current are excited by several fault-related frequencies combined with each other, linearly or nonlinearly. The contribution of this paper is the development of a condition-monitoring strategy that can make accurate and reliable assessments of the presence of specific fault conditions in induction motors with single or multiple faults present.
Sponsorship	IEEE Puebla Sect.
Starting Page	144
Ending Page	148
File Size	955298
Page Count	5
File Format	PDF
ISBN	9781467361569
e-ISBN	9781467361552
DOI	10.1109/CONIELECOMP.2013.6525775
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-03-11
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Induction motors Synchronous motors Vibrations Fault diagnosis Rotors Bars Fault detection spectral analysis Broken rotor bars unbalance bi-spectrum fault detection fourier transform higher order spectra induction motor motor current signature analysis
Content Type	Text
Resource Type	Article

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