Differential Diagnosis Based on Multivariable Monitoring to Assess Induction Machine Rotor Conditions
作者： C. Concari , G. Franceschini , C. Tassoni
关键词:
摘要: Multivariable supervision systems for online monitoring of induction motors allow large versatility and diagnosis robustness. As regards rotor faults, the diagnostic procedure based on sideband current components may fail due to presence interbar currents that reduce degree asymmetry and, thus, amplitude these spectral components. On other hand, produce core vibrations in axial direction; can be detected using a suitable vibration sensor. In this paper, differential fault analysis traditional motor signature (MCSA) radial is proposed discern cases which decreases sensitivity MCSA. The features stator signals are investigated order increase reliability system. Moreover, explore possibility obtaining further information, stray flux taken into account.
sci-hub.se 参考文章(23)
H. Henao, G.A. Capolino, C. Martis, On the stray flux analysis for the detection of the three-phase induction machine faults ieee industry applications society annual meeting. ,vol. 2, pp. 1368- 1373 ,(2003) , 10.1109/IAS.2003.1257729
F. Filippetti, M. Martelli, G. Franceschini, C. Tassoni, Development of expert system knowledge base to on-line diagnosis of rotor electrical faults of induction motors ieee industry applications society annual meeting. pp. 92- 99 ,(1992) , 10.1109/IAS.1992.244459
A. Bellini, F. Filippetti, G. Franceschini, C. Tassoni, G.B. Kliman, Quantitative evaluation of induction motor broken bars by means of electrical signature analysis ieee industry applications society annual meeting. ,vol. 37, pp. 1248- 1255 ,(2000) , 10.1109/28.952499
Alireza Sadoughi, Mohammad Ebrahimi, Mehdi Moalem, Saeid Sadri, Intelligent Diagnosis of Broken Bars in Induction Motors Based on New Features in Vibration Spectrum ieee international symposium on diagnostics for electric machines, power electronics and drives. pp. 106- 111 ,(2007) , 10.1109/DEMPED.2007.4393079
A. Bellini, F. Filippetti, F. Franceschini, T.J. Sobczyk, C. Tassoni, Diagnosis of induction machines by d-q and i.s.c. rotor models ieee international symposium on diagnostics for electric machines, power electronics and drives. pp. 1- 6 ,(2005) , 10.1109/DEMPED.2005.4662533
I. Kerszenbaum, C.F. Landy, The Existence of Large Inter-Bar Currents in Three Phase Squirrel Cage Motors with Rotor-Bar And/Or End-Ring Faults IEEE Transactions on Power Apparatus and Systems. ,vol. PAS-103, pp. 1854- 1862 ,(1984) , 10.1109/TPAS.1984.318634
N. Arthur, J. Penman, Induction machine condition monitoring with higher order spectra IEEE Transactions on Industrial Electronics. ,vol. 47, pp. 1031- 1041 ,(2000) , 10.1109/41.873211
A. Bellini, C. Concari, G. Franceschini, E. Lorenzani, C. Tassoni, A. Toscani, Thorough Understanding and Experimental Validation of Current Sideband Components in Induction Machines Rotor Monitoring conference of the industrial electronics society. ,vol. 1, pp. 4957- 4962 ,(2006) , 10.1109/IECON.2006.347586
S.P. Verma, A. Balan, Determination of radial-forces in relation to noise and vibration problems of squirrel-cage induction motors IEEE Transactions on Energy Conversion. ,vol. 9, pp. 404- 412 ,(1994) , 10.1109/60.300130
S. Bachir, S. Tnani, J.-C. Trigeassou, G. Champenois, Diagnosis by parameter estimation of stator and rotor faults occurring in induction machines IEEE Transactions on Industrial Electronics. ,vol. 53, pp. 963- 973 ,(2006) , 10.1109/TIE.2006.874258