Abstract
A novel diagnostic approach, by means pattern recognition, is proposed for the early detection of inter-turn short circuit on three-phase induction motor and unbalanced input voltage detection. The essential concept is that a minimum inter-turn short circuit at stator motor or unbalanced input voltage produces a slight variation that can be identified in current and rotor speed signals. To achieve this, an own motor mathematical model was created, and in order to generalize the diagnostic for a wide range of motor, is used a novel method to calculate motor parameters through data catalogue. Through this, motors of different power and poles number are emulated and, from these results, an original methodology to transform temporal response in patterns is created.
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López Cárdenas, R., Sánchez Fernández, L.P., Progrebnyak, O., Costa Montiel, Á.A. (2008). Inter-turn Short Circuit and Unbalanced Voltage Pattern Recognition for Three-Phase Induction Motors. In: Ruiz-Shulcloper, J., Kropatsch, W.G. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2008. Lecture Notes in Computer Science, vol 5197. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85920-8_58
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DOI: https://doi.org/10.1007/978-3-540-85920-8_58
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85919-2
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