Accurate Criteria for Broken Bar Detection in Induction Motors Based on the Wavelet (Packet) Transform

Jose Alfonso Antonino-Daviu, Félix Martínez-Giménez, Alfred Peris (), Nasrin Ramezanzadeh and Francisco Rodenas
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Jose Alfonso Antonino-Daviu: Instituto Tecnológico de la Energía, Universitat Politècnica de València, 46022 València, Spain
Félix Martínez-Giménez: Institut Universitari de Matemàtica Pura i Aplicada, Universitat Politècnica de València, 46022 València, Spain
Alfred Peris: Institut Universitari de Matemàtica Pura i Aplicada, Universitat Politècnica de València, 46022 València, Spain
Nasrin Ramezanzadeh: Institut Universitari de Matemàtica Pura i Aplicada, Universitat Politècnica de València, 46022 València, Spain
Francisco Rodenas: Institut Universitari de Matemàtica Pura i Aplicada, Universitat Politècnica de València, 46022 València, Spain

Mathematics, 2024, vol. 12, issue 7, 1-14

Abstract: Finding reliable and robust criteria for the detection of broken bars in induction motors is key for the maintenance of industrial engines, and some of the most efficient methods analyze the stator start-up current. Due to the transitory characteristics and short duration of the signal, suitable time-frequency mathematical tools are very useful for this purpose. We propose here algorithms based on the discrete wavelet and wavelet packet transform, combined with other tools in signal processing, to offer an accurate quantitative method for failure detection due to broken bars in induction motors. A good selection of the wavelet family is important for a good performance of the indicator, and the discrete approximation of the Meyer wavelet, ‘dmeyer’, consistently demonstrates the most favorable results. Our findings highlight the effectiveness of both the wavelet and wavelet packet transforms in accurately detecting broken bars in induction motors. This fact allows optimal monitoring strategies in industrial applications.

Keywords: wavelet transform; wavelet packet transform; faults detection; electrical machine; broken bars (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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