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Unbalanced and Double Line to Ground Fault Detection of Three Phase VSI Fed Induction Motor Drive using Fuzzy Logic Approach

by K. Mohanraj, Sridhar Makkapati, S. Paramasivam
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 15
Year of Publication: 2012
Authors: K. Mohanraj, Sridhar Makkapati, S. Paramasivam
10.5120/7265-0317

K. Mohanraj, Sridhar Makkapati, S. Paramasivam . Unbalanced and Double Line to Ground Fault Detection of Three Phase VSI Fed Induction Motor Drive using Fuzzy Logic Approach. International Journal of Computer Applications. 47, 15 ( June 2012), 26-29. DOI=10.5120/7265-0317

@article{ 10.5120/7265-0317,
author = { K. Mohanraj, Sridhar Makkapati, S. Paramasivam },
title = { Unbalanced and Double Line to Ground Fault Detection of Three Phase VSI Fed Induction Motor Drive using Fuzzy Logic Approach },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 15 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 26-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number15/7265-0317/ },
doi = { 10.5120/7265-0317 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:42:53.161409+05:30
%A K. Mohanraj
%A Sridhar Makkapati
%A S. Paramasivam
%T Unbalanced and Double Line to Ground Fault Detection of Three Phase VSI Fed Induction Motor Drive using Fuzzy Logic Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 15
%P 26-29
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Online monitoring of induction motors is becoming increasingly important. Knowledge based fuzzy logic approach helps in diagnosing the induction motor faults. The current work presents an effective method for diagnosing the stator side faults such as double line fault and an unbalance fault. Stator condition is diagnosed based on the stator RMS values of current amplitude in addition to the knowledge expressed in rules and membership function. The model is implemented in MATLAB/SIMULINK with the data obtained under both healthy and faulty condition and has ability to work with variable speed drives.

References
  1. M. E. H. Benbouzid, 2001. A Simple Fuzzy Logic Approach for Induction Motors Stator Condition Monitoring" in: Electric Machines and Drives Conference.
  2. X. Z. Gao, S. J. Ovaska, 2001. Soft Computing Methods for Control and Instrumentation. Thesis for the Degree of Doctor of Science and Technology, Helsinki.
  3. F. Filippetti et al, 1988. An approach to knowledge representation about induction machine diagnostics in expert systems Proceedings of ICEM.
  4. Z. Ye et al, 2001. Simulation of Electrical faults of three phase Induction motor drive system. in CD-ROM Proceedings of IEEE-PESC
  5. Mini. V. P, Dr. S. usha Kumari, 2010. Fault detection and diagnosis of induction motor using fuzzy logic. IEEE Region 8 SIBIRCON-2010, Irkutsk Listvyanka, Russia.
  6. G. M. Joksimovic, J. Penman, 2000. The detection of inter-turn short circuits in the stator windings of operating motors. IEEE Trans. Industrial Electronics 47 (5) 1078-2000.
  7. Timothy J. Ross. "Fuzzy logic with engineering applications" pages 101-103
  8. W. T. Thomas, M. fenger, 2001. Current signature analysis to detect induction motor faults. IEEE Trans. Ind . Appl.
  9. F. Filippetti et al, I995. A fuzzy logic approach to on-line induction motor diagnostics based on stator current monitoring Proceedings of IEEE International Power Tech Conference
  10. Fernando Briz, Michael W. Degner, Juan M. Guernero and Pablo Garcia, "Stator windings fault diagnostics of induction machines operated from inverters and soft-starters using high frequency negative sequence currents," IEEE transactions on industry applications, vol. 45, 1637-1646, September / October 2009.
  11. B. E. H. Benbouzid, "A review of induction motors signature analysis as a medium for faults detection", IEEE Trans. Industrial Electronics, vol. 47, no. 5, pp. 984 – 993, Oct. 2000.
Index Terms

Computer Science
Information Sciences

Keywords

Diagnosis Fuzzy Logic Unbalance Stator Current Amplitude Knowledge Base

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