Volume 2 Number 4 (Aug. 2010)
Home > Archive > 2010 > Volume 2 Number 4 (Aug. 2010) >
IJCEE 2010 Vol.2 (4): 753-760 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2010.V2.223

Soft Computing Based Fault Diagnosis

K. Vinoth Kumar, S. Suresh Kumar, and Badugu Praveena

Abstract—Induction machines play a pivotal role in industry and there is a strong demand for their reliable and safe operation. They are generally reliable but eventually do wear out. Faults and failures of induction machines can lead to excessive downtimes and generate large losses in terms of maintenance and lost revenues, and this motivates the examination of on-line condition monitoring. On-line condition monitoring involves taking measurements on a machine while it is operating in order to detect faults with the aim of reducing both unexpected failures and maintenance costs. Thus the key for the success of condition based maintenance is having an accurate means of condition assessment and fault diagnosis. The stator is subjected to various stresses such as thermal, electrical, mechanical, and environmental, which severely affects the stator condition leading to faults. These stresses can be classified into phase-to-phase, turn-to-turn, and turn-to-ground. The fault detection using analytical methods is not always possible because it requires a perfect knowledge of the motor model. The fuzzy logic techniques are rather easy to develop and to perform. A Simulink model are developed in Matlab/SIMULINK for Induction Motor using Fuzzy-logic Controller to analyze the performance under the turn-turn short in one phase winding, open phase faults.

Index Terms—Induction Motor, Condition Monitoring, Stator monitoring, Fuzzy Logic, Matlab/SIMULINK, Fault Detection.

K. Vinoth Kumar, is with Department of Electrical and Electronics Engineering, Karunya University, Coimbatore-641114, India.(E-mail: kvinoth_kumar84@yahoo.in).
Dr. S. SureshKumar, is with Department of Electrical and Electronics Engineering, Karunya University, Coimbatore-641114, India.(E-mail: ssk@karunya.edu).
Badugu Praveena, is with Department of Electrical and Electronics Engineering, Karunya University, Coimbatore-641114, India.(E-mail: mtch_praveena@yahoo.com).

Cite: K. Vinoth Kumar, S. Suresh Kumar, and Badugu Praveena, "Soft Computing Based Fault Diagnosis," International Journal of Computer and Electrical Engineering vol. 2, no. 4, pp. 753-760, 2010.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

What's New

  • Jun 03, 2019 News!

    IJCEE Vol. 9, No. 2 - Vol. 10, No. 2 have been indexed by EI (Inspec) Inspec, created by the Institution of Engineering and Tech.!   [Click]

  • Oct 11, 2019 News!

    IJCEE Vol 11, No 4 is available online now   [Click]

  • Oct 11, 2019 News!

    The dois of published papers in Vol 11, No 1- Vol 11, No 3 have been validated by Crossref

  • Aug 20, 2019 News!

    IJCEE Vol 11, No 3 is available online now   [Click]

  • Jun 03, 2019 News!

    IJCEE Vol. 11, No. 2 is available online now.   [Click]

  • Read more>>