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Development and implementation of a novel fault diagnostic and protection technique for IPM motor drives / Khan, M. in IEEE transactions on industrial electronics, Vol. 56 N°1 (Janvier 2009) 

Public ISBD [article]  in IEEE transactions on industrial electronics > Vol. 56 N°1 (Janvier 2009) . - pp. 85 - 92 Titre : Development and implementation of a novel fault diagnostic and protection technique for IPM motor drives Type de document : texte imprimé Auteurs : Khan, M., Auteur ; M. Azizur Rahman, Auteur Année de publication : 2009 Article en page(s) : pp. 85 - 92 Note générale : electronics Langues : Anglais (eng) Mots-clés : Digital  signal  processors;  fault  diagnosis;  interior  permanent-magnet  (IPM)  motor;  neural  networks;  wavelet  packet  transform  (WPT) Résumé : This paper presents the practical implementation of a novel fault diagnostic and protection scheme for the interior permanent-magnet (IPM) synchronous motors using wavelet packet transform (WPT) and artificial neural network. In the proposed technique, the line currents of different faulted and normal conditions of the IPM motor are preprocessed by the WPT. The second level WPT coefficients of line currents are used as inputs of a three-layer feedforward neural network. The proposed protection technique is successfully simulated and experimentally tested on the line-fed and inverter-fed IPM motors. The Texas Instrument 32-bit floating-point digital signal processor TMS320C31 is used for the real-time implementation of the proposed protection algorithm. The offline and online test results of both line-fed and inverter-fed IPM motors are given. These test results showed satisfactory performances of the proposed diagnostic and protection technique in terms of speed, accuracy, and reliability. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4624554&sortType%3Das [...] [article] Development and implementation of a novel fault diagnostic and protection technique for IPM motor drives [texte imprimé] / Khan, M., Auteur ; M. Azizur Rahman, Auteur . - 2009 . - pp. 85 - 92. electronics Langues : Anglais (eng) in IEEE transactions on industrial electronics > Vol. 56 N°1 (Janvier 2009) . - pp. 85 - 92 Mots-clés : Digital  signal  processors;  fault  diagnosis;  interior  permanent-magnet  (IPM)  motor;  neural  networks;  wavelet  packet  transform  (WPT) Résumé : This paper presents the practical implementation of a novel fault diagnostic and protection scheme for the interior permanent-magnet (IPM) synchronous motors using wavelet packet transform (WPT) and artificial neural network. In the proposed technique, the line currents of different faulted and normal conditions of the IPM motor are preprocessed by the WPT. The second level WPT coefficients of line currents are used as inputs of a three-layer feedforward neural network. The proposed protection technique is successfully simulated and experimentally tested on the line-fed and inverter-fed IPM motors. The Texas Instrument 32-bit floating-point digital signal processor TMS320C31 is used for the real-time implementation of the proposed protection algorithm. The offline and online test results of both line-fed and inverter-fed IPM motors are given. These test results showed satisfactory performances of the proposed diagnostic and protection technique in terms of speed, accuracy, and reliability. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4624554&sortType%3Das [...]