Real-time SVD-based detection of multiple combined faults in induction motors
作者： M. Hernandez-Vargas , E. Cabal-Yepez , A. Garcia-Perez
DOI: 10.1016/J.COMPELECENG.2013.12.020
关键词:
摘要: Novel methodology for induction motor condition monitoring is proposed.Singular value decomposition, statistical analysis and an artificial neural network.One-broken-bar, unbalance, faulty bearing their combinations are identified.One-phase of the startup-transient current analyzed in real time. Early detection faults has been a main subject investigation many years. Several approaches have proposed identifying one or more treated isolated way. Multiple combined on motors represent big challenge since reliable diagnosis under presence two simultaneous really difficult. This work introduces novel that merges singular analysis, networks multiple fault identification. Obtained results demonstrate its high effectiveness detecting bearings, broken rotor bars, all possible combinations. The developed field programmable gate array-based implementation offers portable low-cost solution online classification rotating machine Thanks to generalized nature, introduced approach can be extended different working conditions by proper calibration.
sci-hub.se 参考文章(40)
Peter J Olver, Chehrzad Shakiban, Chehrzad Shakiban, Applied linear algebra ,(2005)
Jaroslaw Kurek, Stanislaw Osowski, Support vector machine for fault diagnosis of the broken rotor bars of squirrel-cage induction motor Neural Computing and Applications. ,vol. 19, pp. 557- 564 ,(2010) , 10.1007/S00521-009-0316-5
J. Antonino-Daviu, P. Jover Rodriguez, M. Riera-Guasp, M. Pineda-Sánchez, A. Arkkio, Detection of combined faults in induction machines with stator parallel branches through the DWT of the startup current Mechanical Systems and Signal Processing. ,vol. 23, pp. 2336- 2351 ,(2009) , 10.1016/J.YMSSP.2009.02.007
Jeevanand Seshadrinath, Bhim Singh, Bijaya Ketan Panigrahi, Investigation of Vibration Signatures for Multiple Fault Diagnosis in Variable Frequency Drives Using Complex Wavelets IEEE Transactions on Power Electronics. ,vol. 29, pp. 936- 945 ,(2014) , 10.1109/TPEL.2013.2257869
Wenping Cao, B. C. Mecrow, G. J. Atkinson, J. W. Bennett, D. J. Atkinson, Overview of Electric Motor Technologies Used for More Electric Aircraft (MEA) IEEE Transactions on Industrial Electronics. ,vol. 59, pp. 3523- 3531 ,(2012) , 10.1109/TIE.2011.2165453
A. Katidiotis, K. Tsagkaris, P. Demestichas, Performance evaluation of artificial neural network-based learning schemes for cognitive radio systems Computers & Electrical Engineering. ,vol. 36, pp. 518- 535 ,(2010) , 10.1016/J.COMPELECENG.2009.12.005
E. Cabal-Yepez, R. de J. Romero-Troncoso, A. Garcia-Perez, C. Rodriguez-Donate, Novel hardware processing unit for dynamic on-line entropy estimation of discrete time information Digital Signal Processing. ,vol. 20, pp. 337- 346 ,(2010) , 10.1016/J.DSP.2009.06.012
CE Shennon, Warren Weaver, A mathematical theory of communication Bell System Technical Journal. ,vol. 27, pp. 379- 423 ,(1948) , 10.1002/J.1538-7305.1948.TB01338.X
Jimeng Li, Xuefeng Chen, Zhaohui Du, Zuowei Fang, Zhengjia He, None, A new noise-controlled second-order enhanced stochastic resonance method with its application in wind turbine drivetrain fault diagnosis Renewable Energy. ,vol. 60, pp. 7- 19 ,(2013) , 10.1016/J.RENENE.2013.04.005
Jose Antonino-Daviu, Selin Aviyente, Elias G. Strangas, Martin Riera-Guasp, Scale Invariant Feature Extraction Algorithm for the Automatic Diagnosis of Rotor Asymmetries in Induction Motors IEEE Transactions on Industrial Informatics. ,vol. 9, pp. 100- 108 ,(2013) , 10.1109/TII.2012.2198659