Documents disponibles écrits par cet auteur

Improved resolution of the MCSA method via Hilbert transform, enabling the diagnosis of rotor asymmetries at very low slip / Puche-Panadero, R. in IEEE transactions on energy conversion, Vol. 24 N°1 (Mars 2009) 

Public ISBD [article]  in IEEE transactions on energy conversion > Vol. 24 N°1 (Mars 2009) . - pp. 52 - 59 Titre : Improved resolution of the MCSA method via Hilbert transform, enabling the diagnosis of rotor asymmetries at very low slip Type de document : texte imprimé Auteurs : Puche-Panadero, R., Auteur ; Pineda-Sanchez, Manuel, Auteur ; Riera-Guasp, Martin, Auteur Année de publication : 2009 Article en page(s) : pp. 52 - 59 Note générale : energy conversion Langues : Anglais (eng) Mots-clés : Hilbert  transforms;  fast  Fourier  transforms;  fault  diagnosis;  machine  testing;  rotors;  signal  sampling;  spectral  analysis;  squirrel  cage  motors;  stators Résumé : This paper proposes an online/offline induction motor current signature analysis (MCSA) with advanced signal-and-data-processing algorithms, based on the Hilbert transform. MCSA is a method for motor diagnosis with stator-current signals. Although it is one of the most powerful online methods for diagnosing motor faults, it has some drawbacks that can degrade the performance and accuracy of a motor-diagnosis system. In particular, it is very difficult to detect broken rotor bars when the motor is operating at low slip or under no load, due to fast Fourier transform (FFT) frequency leakage and the small amplitude of the current components related to the fault. Therefore, advanced signal-and-data-processing algorithms are proposed. They consist of a proper sample selection algorithm, a Hilbert transformation of the stator-sampled current, and spectral analysis via FFT of the modulus of the resultant time-dependent vector modulus for achieving MCSA efficiently. Experimental results obtained on a 1.1 kW three-phase squirrel-cage induction motor are discussed. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4749311&sortType%3Das [...] [article] Improved resolution of the MCSA method via Hilbert transform, enabling the diagnosis of rotor asymmetries at very low slip [texte imprimé] / Puche-Panadero, R., Auteur ; Pineda-Sanchez, Manuel, Auteur ; Riera-Guasp, Martin, Auteur . - 2009 . - pp. 52 - 59. energy conversion Langues : Anglais (eng) in IEEE transactions on energy conversion > Vol. 24 N°1 (Mars 2009) . - pp. 52 - 59 Mots-clés : Hilbert  transforms;  fast  Fourier  transforms;  fault  diagnosis;  machine  testing;  rotors;  signal  sampling;  spectral  analysis;  squirrel  cage  motors;  stators Résumé : This paper proposes an online/offline induction motor current signature analysis (MCSA) with advanced signal-and-data-processing algorithms, based on the Hilbert transform. MCSA is a method for motor diagnosis with stator-current signals. Although it is one of the most powerful online methods for diagnosing motor faults, it has some drawbacks that can degrade the performance and accuracy of a motor-diagnosis system. In particular, it is very difficult to detect broken rotor bars when the motor is operating at low slip or under no load, due to fast Fourier transform (FFT) frequency leakage and the small amplitude of the current components related to the fault. Therefore, advanced signal-and-data-processing algorithms are proposed. They consist of a proper sample selection algorithm, a Hilbert transformation of the stator-sampled current, and spectral analysis via FFT of the modulus of the resultant time-dependent vector modulus for achieving MCSA efficiently. Experimental results obtained on a 1.1 kW three-phase squirrel-cage induction motor are discussed. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4749311&sortType%3Das [...]

Influence of nonconsecutive bar breakages in motor current signature analysis for the diagnosis of rotor faults in induction motors / Riera-Guasp, Martin in IEEE transactions on energy conversion, Vol. 25 N° 1 (Mars 2010) 

Public ISBD [article]  in IEEE transactions on energy conversion > Vol. 25 N° 1 (Mars 2010) . - pp. 80 - 89 Titre : Influence of nonconsecutive bar breakages in motor current signature analysis for the diagnosis of rotor faults in induction motors Type de document : texte imprimé Auteurs : Riera-Guasp, Martin, Auteur ; Cabanas, M. F., Auteur ; Antonino-Daviu, Jose Alfonso, Auteur Année de publication : 2010 Article en page(s) : pp. 80 - 89 Note générale : energy conversion Langues : Anglais (eng) Mots-clés : electric  machine  analysis  computing;  fault  diagnosis;  finite  element  analysis;  rotors;  squirrel  cage  motors Résumé : Studies of rotor asymmetries in squirrel-cage induction motors have traditionally focused on analyses of the effects of the breakage of adjacent bars on the magnetic field and current spectrum. However, major motor manufacturers have reported cases where damaged bars are randomly distributed around the rotor perimeter of large HV machines. In some of these cases, the motors were being monitored under maintenance programs based on motor current signature analysis (MCSA), and the degree of degradation found in the rotor was much greater than that predicted by analysis of their current spectra. For this reason, a complete study was carried out, comprising a theoretical analysis, as well as simulation and tests, to investigate the influence that the number and location of faulty bars has on the traditional MCSA diagnosis procedure. From the theoretical analysis, based on the application of the fault-current approach and space-vector theory, a very simple method is deduced, which enables the left sideband amplitude to be calculated for any double bar breakage, per unit of the sideband amplitude corresponding to a single breakage. The proposed methodology is generalized for the estimation of the sideband amplitude in the case of multiple bar breakages and validated by simulation using a finite-element-based model, as well as by laboratory tests. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5350691&sortType%3Das [...] [article] Influence of nonconsecutive bar breakages in motor current signature analysis for the diagnosis of rotor faults in induction motors [texte imprimé] / Riera-Guasp, Martin, Auteur ; Cabanas, M. F., Auteur ; Antonino-Daviu, Jose Alfonso, Auteur . - 2010 . - pp. 80 - 89. energy conversion Langues : Anglais (eng) in IEEE transactions on energy conversion > Vol. 25 N° 1 (Mars 2010) . - pp. 80 - 89 Mots-clés : electric  machine  analysis  computing;  fault  diagnosis;  finite  element  analysis;  rotors;  squirrel  cage  motors Résumé : Studies of rotor asymmetries in squirrel-cage induction motors have traditionally focused on analyses of the effects of the breakage of adjacent bars on the magnetic field and current spectrum. However, major motor manufacturers have reported cases where damaged bars are randomly distributed around the rotor perimeter of large HV machines. In some of these cases, the motors were being monitored under maintenance programs based on motor current signature analysis (MCSA), and the degree of degradation found in the rotor was much greater than that predicted by analysis of their current spectra. For this reason, a complete study was carried out, comprising a theoretical analysis, as well as simulation and tests, to investigate the influence that the number and location of faulty bars has on the traditional MCSA diagnosis procedure. From the theoretical analysis, based on the application of the fault-current approach and space-vector theory, a very simple method is deduced, which enables the left sideband amplitude to be calculated for any double bar breakage, per unit of the sideband amplitude corresponding to a single breakage. The proposed methodology is generalized for the estimation of the sideband amplitude in the case of multiple bar breakages and validated by simulation using a finite-element-based model, as well as by laboratory tests. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5350691&sortType%3Das [...]

Instantaneous frequency of the left sideband harmonic during the start-up transient: a new method for diagnosis of broken bars / Pineda-Sanchez, Manuel 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. 4557 - 4570 Titre : Instantaneous frequency of the left sideband harmonic during the start-up transient: a new method for diagnosis of broken bars Type de document : texte imprimé Auteurs : Pineda-Sanchez, Manuel, Auteur ; Riera-Guasp, Martin, Auteur ; Antonino-Daviu, Jose Alfonso, Auteur Article en page(s) : pp. 4557 - 4570 Note générale : Gébie électrique Langues : Anglais (eng) Mots-clés : Fault  diagnosis  Frequency  estimation  Hilbert  transform  (HT)  Induction  motors  Time-frequency  analysis  Wavelet  transform  (WT) Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : In this paper, a new method for detecting the presence of broken rotor bars is presented. The proposed approach is valid for induction machines started at constant frequency and consists of extracting the instantaneous frequency (IF) of the left sideband harmonic (LSH) from the start-up current (LSHst), via the Hilbert transform. It is shown that, in the case of machines with one or several broken bars, the IF of the LSHst exhibits a very characteristic and easy to identify pattern, which is physically justified. This paper also shows that, if the IF of the LSHst is represented against the slip, a universal fault indicator (nondependent neither on the machine characteristics nor on the starting conditions) can be defined. This fault indicator consists of the correlation between the experimental IF of the LSHst and its theoretical evolution. This approach is theoretically introduced and experimentally validated by testing a commercial motor in faulty and healthy conditions, under different operating conditions. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5153309 [article] Instantaneous frequency of the left sideband harmonic during the start-up transient: a new method for diagnosis of broken bars [texte imprimé] / Pineda-Sanchez, Manuel, Auteur ; Riera-Guasp, Martin, Auteur ; Antonino-Daviu, Jose Alfonso, Auteur . - pp. 4557 - 4570. Gébie électrique Langues : Anglais (eng) in IEEE transactions on industrial electronics > Vol. 56 N° 11 (Novembre 2009) . - pp. 4557 - 4570 Mots-clés : Fault  diagnosis  Frequency  estimation  Hilbert  transform  (HT)  Induction  motors  Time-frequency  analysis  Wavelet  transform  (WT) Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : In this paper, a new method for detecting the presence of broken rotor bars is presented. The proposed approach is valid for induction machines started at constant frequency and consists of extracting the instantaneous frequency (IF) of the left sideband harmonic (LSH) from the start-up current (LSHst), via the Hilbert transform. It is shown that, in the case of machines with one or several broken bars, the IF of the LSHst exhibits a very characteristic and easy to identify pattern, which is physically justified. This paper also shows that, if the IF of the LSHst is represented against the slip, a universal fault indicator (nondependent neither on the machine characteristics nor on the starting conditions) can be defined. This fault indicator consists of the correlation between the experimental IF of the LSHst and its theoretical evolution. This approach is theoretically introduced and experimentally validated by testing a commercial motor in faulty and healthy conditions, under different operating conditions. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5153309