IM stator winding faults diagnosis using EKF

Waseem Wafik Saad Elsayed, Mostafa Abd El Geliel, Ahmed Lotfy

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

Abstract

The induction motor is widely used in industrial applications, respectively, the fault detection and isolation is very important for the continuity of industrial process. The stator turns faults are one of the common faults that may lead to a massive failure which confirms the early detection of the fault to take the best action. This paper presents the fault diagnosis of stator turns faults using extended Kalman filter technique to estimate the percentage of short circuit turns ratio in each phase. The simulation is implemented using MATLAB/Simulink, the technique is tested in various load conditions. The simulation results show that the proposed technique is effective and robust, it shows an accurate estimation in the presence of noises to take action prevent the propagation of fault.
Original languageEnglish
Title of host publication2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)
DOIs
Publication statusPublished - Nov 2017
Externally publishedYes
Event4th International Conference on NEW PARADIGMS IN ELECTRONICS & INFORMATION TECHNOLOGY, PEIT 2017 - Alexandria, Egypt
Duration: 5 Nov 20178 Nov 2017
Conference number: 4

Conference

Conference4th International Conference on NEW PARADIGMS IN ELECTRONICS & INFORMATION TECHNOLOGY, PEIT 2017
Abbreviated titlePEIT 2017
CountryEgypt
CityAlexandria
Period5/11/178/11/17

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