On-Line Fault Diagnostics Of Three Phase Squirrel Cage Induction Motor Based On Motor Current Signature Analysis Method

Studies of rotor asymmetries in three-phase squirrel cage induction motors have traditionally focused on analyses of the effects of the broken rotor bars on the magnetic field and current spectrum. Major motor manufactures have reported cases where damage bars are randomly distributed around the rot...

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Main Author: Hammadi, Khaleel J.
Format: Thesis
Language:English
Published: 2012
Subjects:
Online Access:http://eprints.usm.my/41901/1/KHALEEL_J._HAMMADI.pdf
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spelling my-usm-ep.419012019-04-12T05:26:23Z On-Line Fault Diagnostics Of Three Phase Squirrel Cage Induction Motor Based On Motor Current Signature Analysis Method 2012-01 Hammadi, Khaleel J. TK1-9971 Electrical engineering. Electronics. Nuclear engineering Studies of rotor asymmetries in three-phase squirrel cage induction motors have traditionally focused on analyses of the effects of the broken rotor bars on the magnetic field and current spectrum. Major motor manufactures have reported cases where damage bars are randomly distributed around the rotor perimeter of large motors. The motors were being monitored under maintenance programs based on motor current signature analysis (MCSA) in some of these cases, and the degree of degradation found in the rotor was much greater than that predicted by analysis of their current spectra. A complete study was carried out for this reason, comprising a theoretical analysis, as well as simulation and test, to investigate the influence that the number and location of broken bars has on the traditional MCSA diagnosis procedure. 2012-01 Thesis http://eprints.usm.my/41901/ http://eprints.usm.my/41901/1/KHALEEL_J._HAMMADI.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Kejuteraan Elektrik & Elektronik
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic TK1-9971 Electrical engineering
Electronics
Nuclear engineering
spellingShingle TK1-9971 Electrical engineering
Electronics
Nuclear engineering
Hammadi, Khaleel J.
On-Line Fault Diagnostics Of Three Phase Squirrel Cage Induction Motor Based On Motor Current Signature Analysis Method
description Studies of rotor asymmetries in three-phase squirrel cage induction motors have traditionally focused on analyses of the effects of the broken rotor bars on the magnetic field and current spectrum. Major motor manufactures have reported cases where damage bars are randomly distributed around the rotor perimeter of large motors. The motors were being monitored under maintenance programs based on motor current signature analysis (MCSA) in some of these cases, and the degree of degradation found in the rotor was much greater than that predicted by analysis of their current spectra. A complete study was carried out for this reason, comprising a theoretical analysis, as well as simulation and test, to investigate the influence that the number and location of broken bars has on the traditional MCSA diagnosis procedure.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Hammadi, Khaleel J.
author_facet Hammadi, Khaleel J.
author_sort Hammadi, Khaleel J.
title On-Line Fault Diagnostics Of Three Phase Squirrel Cage Induction Motor Based On Motor Current Signature Analysis Method
title_short On-Line Fault Diagnostics Of Three Phase Squirrel Cage Induction Motor Based On Motor Current Signature Analysis Method
title_full On-Line Fault Diagnostics Of Three Phase Squirrel Cage Induction Motor Based On Motor Current Signature Analysis Method
title_fullStr On-Line Fault Diagnostics Of Three Phase Squirrel Cage Induction Motor Based On Motor Current Signature Analysis Method
title_full_unstemmed On-Line Fault Diagnostics Of Three Phase Squirrel Cage Induction Motor Based On Motor Current Signature Analysis Method
title_sort on-line fault diagnostics of three phase squirrel cage induction motor based on motor current signature analysis method
granting_institution Universiti Sains Malaysia
granting_department Pusat Pengajian Kejuteraan Elektrik & Elektronik
publishDate 2012
url http://eprints.usm.my/41901/1/KHALEEL_J._HAMMADI.pdf
_version_ 1747820992436109312