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Mahmoud El Mouden
National School of Applied Sciences
Electrical & Electronics Engineering

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Journal : Bulletin of Electrical Engineering and Informatics

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Estimation efficiency of rewound induction motors in situ using a numerical model Mohamed Kaddari; Mahmoud El Mouden; Abdelowahed Hajjaji; Semlali Abdellah
Bulletin of Electrical Engineering and Informatics Vol 9, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (559.925 KB) | DOI: 10.11591/eei.v9i5.2349

Abstract

This paper presents an effective technique for determining the impact of rewinding practices on the motor efficiency and characterizing the efficiency reduction when electrical motors are rewound several times. This technique focuses on a new approach and a statistical study to find a numerical model for the estimation efficiency of rewound induction motors in the field. The experimental results from 101 induction motor tests are analyzed. A numerical model is determined and compared with different methods: separate losses method, modified current method and simple current method. An error analysis is conducted to examine the level of uncertainty by testing three asynchronous motors at 110 kW, 160 kW, and 300 kW. The results show that this approach can predict and estimate the efficiency reduction in rewound motors without expensive tests and can help the energy manager make effective cost decisions in replacing the rewound motors with more efficient ones by using an assessment of overconsumption and maintenance costs. Another advantage of this model is that it can be used to improve the software tools and can also be a very strong indicator to audit the repair quality
Co-Authors Abdelowahed Hajjaji Mohamed Kaddari Semlali Abdellah