A Hybrid TSA-Fuzzy Logic Approach to Detect Induction Motor Rotor Faults

  • abdennabi khiam Ecole Mohammedia d’ingénieurs, Mohammed V University in Rabat
  • Nabil Ngote Ecole nationale supérieure des mines de Rabat,
  • Mohammed Ouassaid Ecole Mohammedia d’ingénieurs, Mohammed V University in Rabat

Abstract

This paper treats the broken rotor bar fault detection and diagnosis in induction motors. Indeed, the broken rotor bar fault do not have an initial effect can lead an induction motor to fail, there can be serious secondary effects. In this context, a new fault detection and diagnosis approach, namely the TSA-Fuzzy are presented. This technique uses the residual current, obtained by the TSA method. In fact, this current enables to detect faults that cannot be detected by analyzing the stator current, especially in the low load motor case. The RMS of residual current and the load will be used as inputs for the fuzzy logic bloc, where the decision about the state of the rotor is made. The results show the reliability and the efficiency of the proposed approach
Published
Feb 15, 2019
How to Cite
KHIAM, abdennabi; NGOTE, Nabil; OUASSAID, Mohammed. A Hybrid TSA-Fuzzy Logic Approach to Detect Induction Motor Rotor Faults. International Journal of Information Science and Technology, [S.l.], v. 3, n. 1, p. 26 - 35, feb. 2019. ISSN 2550-5114. Available at: <https://innove.org/ijist/index.php/ijist/article/view/35>. Date accessed: 22 july 2024. doi: http://dx.doi.org/10.57675/IMIST.PRSM/ijist-v3i1.35.
Section
Special issue : Reliability and performance of components and systems for power electronic applications