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Stefan cel Mare
University of Suceava
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Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  4/2012 - 5

 HIGH-IMPACT PAPER 

A Novel Method for Inverter Faults Detection and Diagnosis in PMSM Drives of HEVs based on Discrete Wavelet Transform

AKTAS, M. See more information about AKTAS, M. on SCOPUS See more information about AKTAS, M. on IEEExplore See more information about AKTAS, M. on Web of Science
 
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Download PDF pdficon (1,037 KB) | Citation | Downloads: 1,277 | Views: 5,291

Author keywords
discrete wavelet transforms, wavelet packets, fault diagnosis, electric vehicles, permanent magnet motors

References keywords
motor(22), power(18), synchronous(14), permanent(14), control(14), magnet(13), electric(13), fault(12), wavelet(11), system(11)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2012-11-30
Volume 12, Issue 4, Year 2012, On page(s): 33 - 38
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.04005
Web of Science Accession Number: 000312128400005
SCOPUS ID: 84872785446

Abstract
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Full text preview
The paper proposes a novel method, based on wavelet decomposition, for detection and diagnosis of faults (switch short-circuits and switch open-circuits) in the driving systems with Field Oriented Controlled Permanent Magnet Synchronous Motors (PMSM) of Hybrid Electric Vehicles. The fault behaviour of the analyzed system was simulated by Matlab/SIMULINK R2010a. The stator currents during transients were analysed up to the sixth level detail wavelet decomposition by Symlet2 wavelet. The results prove that the proposed fault diagnosis system have very good capabilities.


References | Cited By  «-- Click to see who has cited this paper

[1] Estima J.O., Cardoso A.J.M. and Mendes A.M.S., Simulation of a Permanent Magnet Synchronous Motor Drive With Voltage Source Inverter Fault Diagnosis, Proceedings of the 20th International Congress and Exhibition on Condition Monitoring.

[2] Ojo O., Osaloni F., Omoigui M.A., Control strategy for optimum efficiency operation of high performance interior permanent magnet motor drives, Industry Applications Conf., 2003, vol.1, pp. 604-610.
[CrossRef]


[3] Sergaki, E.S., Georgilakis, P.S., Kladas, A.G., Stavrakakis, G.S., Fuzzy Logic Based Online Electromagnetic Loss Minimization of Permanent Magnet Synchronous Motor Drives, Proceedings of the 2008 ICEM, pp. 1-7.
[CrossRef] [SCOPUS Times Cited 19]


[4] Lee J., Nam K., Choi S., Kwon S., A Lookup Table Based Loss Minimizing Control for FCEV Permanent Magnet Synchronous Motors, Vehicle Power and Propulsion Conf., 2007, pp. 175-179.
[CrossRef] [Web of Science Times Cited 33] [SCOPUS Times Cited 35]


[5] Cernat M., Comnac V., Cernat R.M., Surface Permanent Magnet Synchronous Motor Drive Using a Gopinath Observer, International Conf. on Electrical and Electronics Engineering ELECO'99, 1-5 December 1999, Bursa, Vol. Electronics, pp.1-6.

[6] Cernat M., Comnac V., P. Korondi, R.-M. Cernat, Sliding Mode Control of Interior Permanent Magnet Synchronous Motors, International Power Electronics Conf. IPEC-Tokyo 2000 April 3-7, 2000, Keio Plaza Hotel, Shinjuku, Tokyo, Japan, Proceedings, Volume 3, pp.1116-1121.
[CrossRef] [Web of Science Times Cited 5]


[7] Kang G-B., Jung J-H., Ihm H-B., Kim H-G., Initial rotor angle and parameter estimation scheme for IPM synchronous motor in hybrid electric vehicle at standstill, 35th Annual Power Electronics Specialists Conf., 2004. PESC 04, Vol. 5, pp.4006 - 4009.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 4]


[8] Tudorache, T., Popescu, M. Optimal Design Solutions for Permanent Magnet Synchronous Machines, Advances in Electrical and Computer Engineering, Volume 11, Issue 4, Year 2011, pp.77 - 82.
[CrossRef] [Full Text] [Web of Science Times Cited 27] [SCOPUS Times Cited 31]


[9] Bianchi N., Bolognani S. and Zigliotto M., Analysis of PM synchronous motor drive failures during flux weakening operation, 27th Annual IEEE Power Electronics Specialists Conf., Baveno, Italy, vol. 2, June 23-27 1996, pp.1542-1548.
[CrossRef] [SCOPUS Times Cited 86]


[10] Estima J.O., Cardoso A.J., Performance analysis of permanent magnet synchronous motor drives under inverter fault conditions, 18th International Conf. on Electrical Machines. ICEM 2008, 6-9 Sept. 2008, pp.1-6.
[CrossRef] [SCOPUS Times Cited 12]


[11] Honda Y., Nakamura T., Higaki, and Takada Y., Motor design considerations and test results of an interior permanent magnet synchronous motor for electric vehicles, in Conf. Rec. IAS, 1997, pp.75-82.
[CrossRef]


[12] Park J., Koo D., Kim J., and Kim H., Improvement of control characteristics of interior permanent magnet synchronous motor for electric vehicle, IEEE Transaction on Industry Applications, vol. 37, 2001, pp.1754-1760.
[CrossRef] [Web of Science Times Cited 27] [SCOPUS Times Cited 56]


[13] Upendar J., Gupta C.P., and Singh G.K., Discrete Wavelet Transform and Genetic Algorithm based Fault Classification of Transmission Systems, 15th National Power Systems Conf. (NPSC), IIT Bombay, 2008, pp. 323-328.

[14] Kashyap, K. H., Shenoy, U.J., Classification of Power System Faults using Wavelet Transforms and Probabilistic Neural Networks, International Symposium on Circuits and Systems, ISCAS 2003, vol. 3, pp.423-426.
[CrossRef]


[15] Fernandez, R. C., Rojas, H.D., An Overview of Wavelet Transforms Application in Power Systems 14th Power System Computation Conf., PSCC'02, Sevilla, June 2002.
[CrossRef] [Web of Science Times Cited 56] [SCOPUS Times Cited 79]


[16] Kezunovic M, Galijasevic Z., New software framework for automated analysis of power system transients, Proc. International Conf. on Power System Transients, IPST 2001.

[17] Charfi F., Al-Haddad K., Francois B., Messaosu M.B., Sellami F, Power system fault monitoring using wavelet transform, 35th Annual IEEE Power Electronics Specialists Conf., Aachen, Germany, 2004.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 6]


[18] Charfi F., Al-Haddad K., Sellami F., Analysis and identification of embedded power system faults using wavelet transform, Proc. Electric Vehicle Symp. EVS, Monaco, 21 April 2005.

[19] Thuillard M., A review of wavelet networks, wavelets, fuzzy wavelets and their applications, Proc. ESIT 2000, Aachen, Germany, 14-15 September 2000.

[20] Zeraoulia M., Mohamed E-H., Benbouzid, and Diallo D., Electric Motor Drive Selection Issues for HEV Propulsion Systems: A Comparative Study, IEEE Transaction on Vehicular Technology, Vol. 55, No.6, November 2006, pp.1756-1764
[CrossRef] [Web of Science Times Cited 367] [SCOPUS Times Cited 573]


[21] Ehsani M., Gao Y., Miller J.M. Hybrid Electric Vehicles: Architecture and Motor Drives, Proceedings of the IEEE, Vol. 95, No.4, April 2007, pp.719-728.
[CrossRef] [Web of Science Times Cited 288] [SCOPUS Times Cited 401]


[22] Sánchez A.L., Cadaval E.R., Montero M., Lozano J.G., Optimization of Losses in Permanent Magnet Synchronous Motors for Electric Vehicle Application, Doctoral Conf. on Computing, Electrical and Industrial Systems, DoCEIS 2011. Springer. Caparica, Portugal, 21-23 February 2011.

[23] Chan C.C., Chau K.T., An Overview of Power Electronics in Electric Vehicles. IEEE Transactions on Industrial Electronics, 1997, vol. 44, pp.3-13.
[CrossRef] [Web of Science Times Cited 233] [SCOPUS Times Cited 369]


[24] Kennel R., Encoderless Control of Synchronous Machines with Permanent Magnets-Impact of Magnetic Design, IEEE International Conf. on Optimization of Electrical and Electronic Equipment, 2010, pp.19-24.
[CrossRef] [SCOPUS Times Cited 19]


[25] Pillay P., Krishnan R., Control characteristics and Speed Controller Design for a High Performance Permanent Magnet Synchronous Motor Drive, IEEE Transactions on Power Electronics, vol.5, 1990, pp.151-159.
[CrossRef] [Web of Science Times Cited 78] [SCOPUS Times Cited 107]


[26] Trabelsi M., Boussak M., Gossa M., Multiple IGBTs Open Circuit Faults Diagnosis in Voltage Source Inverter Fed Induction Motor Using Modified Slope Method, XIX International Conf. on Electrical Machines-ICEM 2010, 6-8 Sept. 2010, p.1-6.
[CrossRef] [SCOPUS Times Cited 92]


[27] Akin B., Ozturk S.B., Toliyat H.A., and Rayner M., DSP-Based Sensorless Electric Motor Fault Diagnosis Tools for Electric and Hybrid Electric Vehicle Powertrain Applications, IEEE Transaction on Vehicular Technology, Vol. 58, No. 5, June 2009, p.2150-2159.
[CrossRef] [Web of Science Times Cited 26] [SCOPUS Times Cited 22]


[28] Schoen R., Habetler T., Kamran F., and Bartfield R., Motor bearing damage detection using stator current monitoring, IEEE Trans. Ind. Appl., vol. 31, no. 6, Nov./Dec. 1995, p.1274-1279.
[CrossRef] [Web of Science Times Cited 563] [SCOPUS Times Cited 736]


[29] Benbouzid M.E.H., A review of induction motors signature analysis as a medium for faults detection, IEEE Transaction Industrial Electronic, vol. 47, no. 5, Oct. 2000, pp.984-993.
[CrossRef] [Web of Science Times Cited 969] [SCOPUS Times Cited 1355]


[30] Nandi S., Bharadwaj M., and Toliyat H.A., Performance analysis of a three-phase induction motor under mixed eccentricity condition, IEEE Transaction Energy Conversion, vol. 17, no. 3, Sep. 2002, pp.392-399.
[CrossRef] [Web of Science Times Cited 195] [SCOPUS Times Cited 235]


[31] Ngaopitakkul, A., and Kunakorn, A., Internal Fault Classification in Transformer Windings using Combination of Discrete Wavelet Transforms and Back-propagation Neural Networks, International Journal of Control, Automation, and Systems, vol. 4, no. 3, June 2006, pp. 365-371.

[32] Yan C., Zhang Y., Wu L., A Novel Real-Time Fault Diagnostic System by Using Strata Hierarchical Artificial Neural Network, Power and Energy Engineering Conf., APPEEC 2009, Asia-Pacific, 2009, pp.1-4.
[CrossRef] [SCOPUS Times Cited 2]


[33] Charfi F., Sellami F., Al-Haddad K., Fault diagnostic in power system using wavelet transforms and neural Networks, IEEE ISIE 2006, Montreal, Quebec, Canada, 9-12 July 2006.
[CrossRef] [Web of Science Times Cited 40] [SCOPUS Times Cited 62]


[34] Jeong Y., Sul S-K., Schulz S. and Patel N., Fault Detection and Fault Tolerant Control of Interior Permanent Magnet Motor Drive System for Electric Vehicle, IEEE Transactions on Industry Applications, Jan.-Feb. 2005, Vol.41, Issue 1, pp.46-51.
[CrossRef] [Web of Science Times Cited 170] [SCOPUS Times Cited 218]


[35] Yeow Hong S., Qin W., A wavelet based method to discriminate between inrush current and internal fault, Proc. International Conf. on Power System Technology, PowerCon 2000, Vol. 2, pp.927-931.
[CrossRef] [SCOPUS Times Cited 19]


[36] Aktas M, Turkmenoglu V., Wavelet-based switching faults detection in direct torque control induction motor drives, IET Science, Measurement& Technology, Vol. 4, No:6, 2009, pp.303-310.
[CrossRef] [Web of Science Times Cited 57] [SCOPUS Times Cited 69]


[37] Bekiroglu N., Ozcira S., Observerless Scheme for Sensorless Speed Control of PMSM Using Direct Torque Control Method with LP Filter, Advances in Electrical and Computer Engineering, Volume 10, Issue 3, 2010, pp.78-83.
[CrossRef] [Full Text] [Web of Science Times Cited 6] [SCOPUS Times Cited 9]


[38] Ozgen, S.P., Graphical User Interface Aided Online Fault Diagnosis of Electric Motor - DC Motor Case Study, Advances in Electrical and Computer Engineering, Volume 9, Issue 3, 2009, pp.12-17.
[CrossRef] [Full Text] [Web of Science Times Cited 3] [SCOPUS Times Cited 5]


[39] Sedighizadeh M., Rezazadeh A., A modified Adaptive Wavelet PID Control Based on Reinforcement Learning for Wind Energy Conversion System Control, Advances in Electrical and Computer Engineering, Volume 10, Issue 2, 2010, pp.153-159.
[CrossRef] [Full Text] [Web of Science Times Cited 10] [SCOPUS Times Cited 12]


[40] Maraba V.A., Kuzucuoglu A.E., PID Neural Network Based Speed Control of Asynchronous Motor Using Programmable Logic Controller, Advances in Electrical and Computer Engineering, Volume 11, Issue 4, 2011, pp.23-28.
[CrossRef] [Full Text] [Web of Science Times Cited 13] [SCOPUS Times Cited 15]




References Weight

Web of Science® Citations for all references: 3,171 TCR
SCOPUS® Citations for all references: 4,648 TCR

Web of Science® Average Citations per reference: 77 ACR
SCOPUS® Average Citations per reference: 113 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-04-19 17:29 in 191 seconds.




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