Abstract
This paper proposes an original approach for detection, localization and quantification of faults appearing in electrical machines. The used method in this work deals with the analysis of the leakage magnetic field of a machine. This approach is already known, but until now, classical methods only detect if a fault is present or not. Thus, we propose a new approach based on the theory of inverse problems. It not only enables us to identify a faulty mode, but also to discriminate several types of defects, to localize them and also to quantify their importance.
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Bui, V-P., Chadebec, O., Rouve, L-L., Coulomb, J-L.: An Homogenized FEM Model to Predict the Stray Magnetic Field Created by Faulty Electrical Machines. In: Proceeding of CEFC 2006, Miami (May 2006)
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Bui, V.P., Chadebec, O., Rouve, LL., Coulomb, JL. (2007). Non Invasive Faults Monitoring of Electrical Machines by Solving Steady State Magnetic Inverse Problem. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4694. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74829-8_53
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DOI: https://doi.org/10.1007/978-3-540-74829-8_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74828-1
Online ISBN: 978-3-540-74829-8
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