Documents disponibles écrits par cet auteur

Detection of generalized-roughness bearing fault by spectral-kurtosis energy of vibration or current signals / Immovilli, Fabio 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. 4710 - 4717 Titre : Detection of generalized-roughness bearing fault by spectral-kurtosis energy of vibration or current signals Type de document : texte imprimé Auteurs : Immovilli, Fabio, Auteur ; Cocconcelli, Marco, Auteur ; Bellini, Alberto, Auteur Article en page(s) : pp. 4710 - 4717 Note générale : Génie électrique Langues : Anglais (eng) Mots-clés : Bearings  Diagnostic  reasoning  Fault  detection  rotating-machine  mechanical  factors  Rough  surface  Signal  processing  Spectral  analysis  wear Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : Generalized roughness is the most common damage occurring to rolling bearings. It produces a frequency spreading of the characteristic fault frequencies, thus making it difficult to detect with spectral or envelope analysis. A statistical analysis of typical bearing faults is proposed here in order to identify the spreading bandwidth related to specific conditions, relying on current or vibration measurements only. Then, a diagnostic index based on the computation of the energy in the previously defined bandwidth is used to diagnose bearing faults. The proposed method was validated experimentally with vibration signals, with robust and reliable results. The same procedure can be extended to current signals. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5089424 [article] Detection of generalized-roughness bearing fault by spectral-kurtosis energy of vibration or current signals [texte imprimé] / Immovilli, Fabio, Auteur ; Cocconcelli, Marco, Auteur ; Bellini, Alberto, Auteur . - pp. 4710 - 4717. Génie électrique Langues : Anglais (eng) in IEEE transactions on industrial electronics > Vol. 56 N° 11 (Novembre 2009) . - pp. 4710 - 4717 Mots-clés : Bearings  Diagnostic  reasoning  Fault  detection  rotating-machine  mechanical  factors  Rough  surface  Signal  processing  Spectral  analysis  wear Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : Generalized roughness is the most common damage occurring to rolling bearings. It produces a frequency spreading of the characteristic fault frequencies, thus making it difficult to detect with spectral or envelope analysis. A statistical analysis of typical bearing faults is proposed here in order to identify the spreading bandwidth related to specific conditions, relying on current or vibration measurements only. Then, a diagnostic index based on the computation of the energy in the previously defined bandwidth is used to diagnose bearing faults. The proposed method was validated experimentally with vibration signals, with robust and reliable results. The same procedure can be extended to current signals. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5089424

Diagnosis of induction machines'rotor faults in time-varying conditions / Stefani, Andrea 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. 4548 - 4556 Titre : Diagnosis of induction machines'rotor faults in time-varying conditions Type de document : texte imprimé Auteurs : Stefani, Andrea, Auteur ; Bellini, Alberto, Auteur ; Filippetti, Fiorenzo, Auteur Article en page(s) : pp. 4548 - 4556 Note générale : Génie électrique Langues : Anglais (eng) Mots-clés : Fault  diagnosis  Induction  motor  drives  Time- Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : Motor current signature analysis is the reference method for the diagnosis of induction machines' rotor faults; however, in time-varying conditions, it fails as slip and speed vary, and, thus, sideband components are spread in a bandwidth that is proportional to the variation. Variable speed drive applications are common in the aerospace, appliance, railway, and automotive industries and also in electric generators for wind turbines. In this paper, a simple and effective method is presented that allows the diagnosis of rotor faults for induction machine drives in time-varying conditions. It is tailored to direct rotor flux field-oriented controlled drives, where the control system provides suitable signals that are exploited for the demodulation to a constant frequency of time-varying signatures related to the rotor faults. Simulations and experiments are reported to validate the proposed method on a critical speed transient. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4801642 [article] Diagnosis of induction machines'rotor faults in time-varying conditions [texte imprimé] / Stefani, Andrea, Auteur ; Bellini, Alberto, Auteur ; Filippetti, Fiorenzo, Auteur . - pp. 4548 - 4556. Génie électrique Langues : Anglais (eng) in IEEE transactions on industrial electronics > Vol. 56 N° 11 (Novembre 2009) . - pp. 4548 - 4556 Mots-clés : Fault  diagnosis  Induction  motor  drives  Time- Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : Motor current signature analysis is the reference method for the diagnosis of induction machines' rotor faults; however, in time-varying conditions, it fails as slip and speed vary, and, thus, sideband components are spread in a bandwidth that is proportional to the variation. Variable speed drive applications are common in the aerospace, appliance, railway, and automotive industries and also in electric generators for wind turbines. In this paper, a simple and effective method is presented that allows the diagnosis of rotor faults for induction machine drives in time-varying conditions. It is tailored to direct rotor flux field-oriented controlled drives, where the control system provides suitable signals that are exploited for the demodulation to a constant frequency of time-varying signatures related to the rotor faults. Simulations and experiments are reported to validate the proposed method on a critical speed transient. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4801642