Diagnosis of rolling bearings faults in electric machines through stray magnetic flux monitoring
作者： Ciprian Harlisca , Lorand Szabo , Lucia Frosini , Andrea Albini
DOI: 10.1109/ATEE.2013.6563406
关键词:
摘要: The most frequent causes of failure in electrical machines are due to bearing related faults. By means advanced diagnosis methods, it is possible detect these faults their incipient phase, before the catastrophic effects failures can occur. In this paper, a new fault method by statistical analysis stator current and stray flux around an induction motor presented. experimental tests were carried out on three-phase with three different faults: crack outer race, hole race deformation protective seal.
epistemio.com参考文章(31)
Ratna Dahiya, Neelam Mehala, Detection of Bearing Faults of Induction Motor Using Park's Vector Approach ,(2010)
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
J.R. Stack, T.G. Habetler, R.G. Harley, Bearing fault detection via autoregressive stator current modeling ieee industry applications society annual meeting. ,vol. 40, pp. 740- 747 ,(2003) , 10.1109/TIA.2004.827797
O. Vitek, M. Janda, V. Hajek, P. Bauer, Detection of eccentricity and bearings fault using stray flux monitoring ieee international symposium on diagnostics for electric machines, power electronics and drives. pp. 456- 461 ,(2011) , 10.1109/DEMPED.2011.6063663
İzzet Y. önel, K. Burak Dalci, İbrahim Senol, Detection of outer raceway bearing defects in small induction motors using stator current analysis Sadhana-academy Proceedings in Engineering Sciences. ,vol. 30, pp. 713- 722 ,(2005) , 10.1007/BF02716705
Daniel Morinigo-Sotelo, Oscar Duque-Perez, Luis Angel Garcia-Escudero, Marcelo Perez-Alonso, Bearing lubrication assessment using an statistical analysis of the stator current spectrum international conference on electrical machines. pp. 1- 6 ,(2010) , 10.1109/ICELMACH.2010.5608470
N Tandon, A Choudhury, A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings Tribology International. ,vol. 32, pp. 469- 480 ,(1999) , 10.1016/S0301-679X(99)00077-8
L. Frosini, A. Borin, L. Girometta, G. Venchi, Development of a leakage flux measurement system for condition monitoring of electrical drives ieee international symposium on diagnostics for electric machines, power electronics and drives. pp. 356- 363 ,(2011) , 10.1109/DEMPED.2011.6063648
A. Yazidi, H. Henao, G. A. Capolino, M. Artioli, F. Filippetti, D. Casadei, Flux signature analysis: An alternative method for the fault diagnosis of induction machines ieee powertech conference. pp. 1- 6 ,(2005) , 10.1109/PTC.2005.4524578
W.-Y. Chen, J.-X. Xu, S. K Panda, Application of artificial intelligence techniques to the study of machine signatures international conference on electrical machines. pp. 2390- 2396 ,(2012) , 10.1109/ICELMACH.2012.6350218