Short-circuit detection by means of empirical mode decomposition and wigner–ville distribution for PMSM running under dynamic condition / Rosero, Javier A. in IEEE transactions on industrial electronics, Vol. 56 N° 11 (Novembre 2009)  

Public ISBD [article]  inIEEE transactions on industrial electronics > Vol. 56 N° 11 (Novembre 2009) . - pp. 4534 - 4547 Titre : Short-circuit detection by means of empirical mode decomposition and wigner–ville distribution for PMSM running under dynamic condition Type de document : texte imprimé Auteurs : Rosero, Javier A., Auteur ; Romeral, Luis, Auteur ; Ortega, Juan A., Auteur Article en page(s) : pp. 4534 - 4547 Note générale : Génie électrique Langues : Anglais (eng) Mots-clés : Electric machines Empirical mode decomposition (EMD) Fault diagnosis Intrinsis function (IMF) Motor Permanent-magnet motors Wigner-ville distribution (WVD) Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : This paper presents and analyzes a method for short-circuit fault detection in a permanent-magnet synchronous motor (PMSM). The study includes steady-state condition and speed transients in motor operation. The stator current is decomposed by empirical mode decomposition (EMD), which generates a set of intrinsic mode functions (IMFs). Quadratic time-frequency (TF) distributions such as smoothed pseudo-Wigner-Ville and Zhao-Atlas-Marks are applied on the more significant IMFs for fault detection. Simulations and experimental laboratory tests validate the algorithms and demonstrate that this kind of TF analysis can be applied to detect and identify short-circuit failures in PMSM. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4745804 [article] Short-circuit detection by means of empirical mode decomposition and wigner–ville distribution for PMSM running under dynamic condition [texte imprimé] / Rosero, Javier A., Auteur ; Romeral, Luis, Auteur ; Ortega, Juan A., Auteur . - pp. 4534 - 4547. Génie électrique Langues : Anglais (eng) in IEEE transactions on industrial electronics > Vol. 56 N° 11 (Novembre 2009) . - pp. 4534 - 4547 Mots-clés : Electric machines Empirical mode decomposition (EMD) Fault diagnosis Intrinsis function (IMF) Motor Permanent-magnet motors Wigner-ville distribution (WVD) Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : This paper presents and analyzes a method for short-circuit fault detection in a permanent-magnet synchronous motor (PMSM). The study includes steady-state condition and speed transients in motor operation. The stator current is decomposed by empirical mode decomposition (EMD), which generates a set of intrinsic mode functions (IMFs). Quadratic time-frequency (TF) distributions such as smoothed pseudo-Wigner-Ville and Zhao-Atlas-Marks are applied on the more significant IMFs for fault detection. Simulations and experimental laboratory tests validate the algorithms and demonstrate that this kind of TF analysis can be applied to detect and identify short-circuit failures in PMSM. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4745804

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