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Reseach Article

Article:Computer-aided Simulation Model of Stator Groundwall Insulation of Induction Motor based on Current Parkís Vector Approach

by Amit J Modak, Dr. H.P. Inamdar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 9 - Number 8
Year of Publication: 2010
Authors: Amit J Modak, Dr. H.P. Inamdar
10.5120/1405-1898

Amit J Modak, Dr. H.P. Inamdar . Article:Computer-aided Simulation Model of Stator Groundwall Insulation of Induction Motor based on Current Parkís Vector Approach. International Journal of Computer Applications. 9, 8 ( November 2010), 24-33. DOI=10.5120/1405-1898

@article{ 10.5120/1405-1898,
author = { Amit J Modak, Dr. H.P. Inamdar },
title = { Article:Computer-aided Simulation Model of Stator Groundwall Insulation of Induction Motor based on Current Parkís Vector Approach },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 9 },
number = { 8 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 24-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume9/number8/1405-1898/ },
doi = { 10.5120/1405-1898 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:58:04.156882+05:30
%A Amit J Modak
%A Dr. H.P. Inamdar
%T Article:Computer-aided Simulation Model of Stator Groundwall Insulation of Induction Motor based on Current Parkís Vector Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 9
%N 8
%P 24-33
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Modeling and simulation studies published in the literature have shown that the stator winding faults are one of the major causes of induction motor failure. The spectrum analysis and AI-based fault diagnosis techniques were introduced to detect such faults at the early stage. However, there is not much mention about the deterioration of stator winding on account of degradation of stator groundwall insulation. This paper investigates the methodology to simulate the percentage of degradation related with deterioration of stator groundwall insulation of induction motor.

References
  1. H. Nejjari and M. H. Benbouzid, “Monitoring and diagnosis of induction motor faults using current parks vector approach,” IEEE Trans. Ind. Applicat., vol.36, no.3, May/June 2000, pp. 730-735.
  2. G. M. Joksimovic and J. Penman, “The detection of inter-turn short circuits in the stator windings of operating motors,” IEEE Trans. Ind. Elect., vol.47, no.5, October 2000, pp. 1078-1084.
  3. G. B. Kliman, W. J. Premerlani, R. A. Koegland D. Hoeweler, “ A new approach to on line turn fault detection in AC motors,” in Conf. Rec. IEEE –IAS Annu. Meeting, San Diego, CA, 1996, pp. 687-693
  4. Sergio M. A. Cruz and A. J. Marques Cardoso, “Stator winding fault diagnosis in three-phase synchronous and asynchronous motors by the extended parks vector approach,” IEEE Trans. Ind. Applicat., vol.37, no.5, Sept./Oct. 2001, pp. 1227-1233.
  5. S. Nandi and H. A. Toliyat, “ Fault diagnosis of electrical machines-A review,” in Proc. IEEE Int. Electric Machines and Drives Conf. Seattle.WA, USA, May 9-12 ,1999, pp. 219-221.
  6. G. B. Kliman, W.J. Premerlani, B.Yazici, and R. A. Koegl, “Recent developments in on-line motor diagnostics,” Proc. Int. conf. Electrical Machines, vol.1, Istanbul, Turkey, Sept.2-4, 1998, pp. 471-475.
  7. A. J. M. Cardoso et. al., “Inter turn stator winding fault diagnosis in three phase induction motors, by Park’s vector approach,” IEEE Trans. Energy Conversion, vol.14, no. 3, Sept.1999, pp. 595-598.
  8. A. J. M. Cardoso et al., “Computer aided detection of air gap eccentricity in operating three phase induction motors by Park’s vector approach,” IEEE Trans. Ind. Applicat., vol.29, Sept. /Oct. 1993, pp. 897-901.
  9. F. C. Trutt et al., “Detection of AC machine winding deterioration using electrically excited vibrations,” IEEE Trans. Ind. Applicat., vol.17, no.1, 2001
  10. N. Arthur and J. Penman, “Induction machine conditioning monitoring with higher order spectra,” IEEE Trans. Ind. Elect., vol.47, no.5, Oct. 2000, pp. 1031-1041.
  11. F. Filippetti, G. Franceschini, C. Tassoni, and Peter Vas, “Recent developments of induction motor drives fault diagnosis using AI techniques,” IEEE Trans. Trans. Ind. Elect., vol.47, no.5, Oct. 2000, pp. 994-1004.
Index Terms

Computer Science
Information Sciences

Keywords

Current Park’s Transformation induction motor artificial intelligence (AI) techniques Groundwall Insulation MAS-L Architecture