Documents disponibles écrits par cet auteur

Motor fault detection using a rogowski sensor without an integrator / Poncelas, Oscar in IEEE transactions on industrial electronics, Vol. 56 N° 10 (Octobre 2009) 

Public ISBD [article]  in IEEE transactions on industrial electronics > Vol. 56 N° 10 (Octobre 2009) . - pp. 4062 - 4070 Titre : Motor fault detection using a rogowski sensor without an integrator Type de document : texte imprimé Auteurs : Poncelas, Oscar, Auteur ; Rosero, Javier A., Auteur ; Cusido, Jordi, Auteur Article en page(s) : pp. 4062 - 4070 Note générale : Génie électrique Langues : Anglais (eng) Mots-clés : Current  sensor  Motor  current  signal  analysis  (MCSA)  Motor  drive  Rogowski Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : This paper presents a new approach for the current acquisition system in motor fault detection applications. This paper includes the study, design, and implementation of a Rogowski-coil current sensor without the integrator circuit that is typically used. The circuit includes an autotuning block able to adjust to different motor speeds. Equalizing the amplitudes of the fundamental and fault harmonics leads to higher precision current measurements. The resulting compact sensor is used as a current probe for fault detection in induction motors through motor current signal analysis. The use of a Rogowski coil without an integrator allows a better discrimination of the fault harmonics around the third and fifth main harmonics. Finally, the adaptive conditioning circuit is tested over an induction machine drive. Results are presented, and quantitative comparisons are carried out. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5130237 [article] Motor fault detection using a rogowski sensor without an integrator [texte imprimé] / Poncelas, Oscar, Auteur ; Rosero, Javier A., Auteur ; Cusido, Jordi, Auteur . - pp. 4062 - 4070. Génie électrique Langues : Anglais (eng) in IEEE transactions on industrial electronics > Vol. 56 N° 10 (Octobre 2009) . - pp. 4062 - 4070 Mots-clés : Current  sensor  Motor  current  signal  analysis  (MCSA)  Motor  drive  Rogowski Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : This paper presents a new approach for the current acquisition system in motor fault detection applications. This paper includes the study, design, and implementation of a Rogowski-coil current sensor without the integrator circuit that is typically used. The circuit includes an autotuning block able to adjust to different motor speeds. Equalizing the amplitudes of the fundamental and fault harmonics leads to higher precision current measurements. The resulting compact sensor is used as a current probe for fault detection in induction motors through motor current signal analysis. The use of a Rogowski coil without an integrator allows a better discrimination of the fault harmonics around the third and fifth main harmonics. Finally, the adaptive conditioning circuit is tested over an induction machine drive. Results are presented, and quantitative comparisons are carried out. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5130237

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]  in IEEE 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  mode  function  (IMF)  Motor  diagnosis  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  mode  function  (IMF)  Motor  diagnosis  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