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Détail de l'auteur
Auteur Pineda-Sanchez, Manuel
Documents disponibles écrits par cet auteur
Affiner la rechercheElectrical machines laminations magnetic properties / Martinez-Roman, Javier in IEEE transactions on education, Vol. 58 N° 3 (Août 2015)
[article]
in IEEE transactions on education > Vol. 58 N° 3 (Août 2015) . - pp. 159 - 166
Titre : Electrical machines laminations magnetic properties : a virtual instrument laboratory Type de document : texte imprimé Auteurs : Martinez-Roman, Javier, Auteur ; Perez-Cruz, Juan, Auteur ; Pineda-Sanchez, Manuel, Auteur Année de publication : 2016 Article en page(s) : pp. 159 - 166 Note générale : Education Langues : Anglais (eng) Mots-clés : Electrical engineering Electrical engineering education Magnetic circuits Magnetic materials Student experiments Test equipment Résumé : Undergraduate courses in electrical machines often include an introduction to their magnetic circuits and to the various magnetic materials used in their construction and their properties. The students must learn to be able to recognize and compare the permeability, saturation, and losses of these magnetic materials, relate each material to its specific properties, and understand the impact of these properties on the major performance metrics of electrical machines. This paper describes a new test equipment setup and lab guide that helps students achieve these learning goals. The test equipment consists of two transformers of grain-oriented and non-grain-oriented electrical steel, transducers, a data acquisition (DAQ) board and a PC-based virtual instrument. The virtual instrument shows voltage, current, and core flux time waveforms, the rms voltage versus current curves and, most importantly, the lamination material magnetic cycle. Students' laboratory work was organized into a series of experiments that guide their achievement of these magnetic materials-related abilities. Pre- and post-lab exams assessed student learning, which was shown to have increased significantly. Students' opinions of the relevance, usefulness, and motivational effect of the laboratory were also positive. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6894641&filter%3DAND% [...] [article] Electrical machines laminations magnetic properties : a virtual instrument laboratory [texte imprimé] / Martinez-Roman, Javier, Auteur ; Perez-Cruz, Juan, Auteur ; Pineda-Sanchez, Manuel, Auteur . - 2016 . - pp. 159 - 166.
Education
Langues : Anglais (eng)
in IEEE transactions on education > Vol. 58 N° 3 (Août 2015) . - pp. 159 - 166
Mots-clés : Electrical engineering Electrical engineering education Magnetic circuits Magnetic materials Student experiments Test equipment Résumé : Undergraduate courses in electrical machines often include an introduction to their magnetic circuits and to the various magnetic materials used in their construction and their properties. The students must learn to be able to recognize and compare the permeability, saturation, and losses of these magnetic materials, relate each material to its specific properties, and understand the impact of these properties on the major performance metrics of electrical machines. This paper describes a new test equipment setup and lab guide that helps students achieve these learning goals. The test equipment consists of two transformers of grain-oriented and non-grain-oriented electrical steel, transducers, a data acquisition (DAQ) board and a PC-based virtual instrument. The virtual instrument shows voltage, current, and core flux time waveforms, the rms voltage versus current curves and, most importantly, the lamination material magnetic cycle. Students' laboratory work was organized into a series of experiments that guide their achievement of these magnetic materials-related abilities. Pre- and post-lab exams assessed student learning, which was shown to have increased significantly. Students' opinions of the relevance, usefulness, and motivational effect of the laboratory were also positive. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6894641&filter%3DAND% [...] 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)
[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 [...] 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)
[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