Open-Switch Fault Diagnosis System Based on One Current Sensing for a Matrix Converter Using Neural Network
Abstract
It is difficult to diagnose a three-phase matrix converter using a mathematical model, because a matrix converter consists of nine switches with various nonlinear factors. Since a neural network does not require any mathematical system model, it is a suitable technique for fault classification in matrix converters. In this manuscript, a fault diagnostic system for three-phase to three-phase matrix converters using a neural network is proposed to detect a fault and identify its location. The proposed diagnostic system can detect faults using just one phase current waveform which is very efficient in terms of cost of sensors and system complexity. This method was evaluated using simulation and experimental data sets in two scenarios. The results confirm that in different normal and abnormal situations the system achieves performance levels in excess of 98%.References
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[2] Sergio Vazquez, Jose Rodriguez, Marco Rivera, Leopoldo G Franquelo,
and Margarita Norambuena. Model predictive control for power
converters and drives: Advances and trends. IEEE Transactions on
Industrial Electronics, 64(2):935–947, 2016.
[3] Eiji Yamamoto, Hidenori Hara, Takahiro Uchino, Masahiro Kawaji, Tsuneo
Joe Kume, Jun Koo Kang, and Hans-Peter Krug. Development of
MCs and its Applications in Industry [Industry Forum]. IEEE Industrial
Electronics Magazine, 5(1):4–12, mar 2011.
[4] M. Aten, G. Towers, C. Whitley, P. Wheeler, J. Clare, and K. Bradley.
Reliability comparison of matrix and other converter topologies. IEEE
Transactions on Aerospace and Electronic Systems, 42(3):867–875,
jul 2006.
[5] Ui-Min Choi, Frede Blaabjerg, and Kyo-Beum Lee. Study and Handling
Methods of Power IGBT Module Failures in Power Electronic Converter
Systems. IEEE Transactions on Power Electronics, 30(5):2517–2533,
may 2015.
[6] Hyunseok Oh, Bongtae Han, Patrick McCluskey, Changwoon Han, and
Byeng D. Youn. Physics-of-Failure Condition Monitoring, and Prognostics
of Insulated Gate Bipolar Transistor Modules: A Review. IEEE
Transactions on Power Electronics, 30(5):2413–2426, may 2015.
[7] Wenping Zhang, Dehong Xu, Prasad N. Enjeti, Haijin Li, Joshua T.
Hawke, and Harish S. Krishnamoorthy. Survey on Fault-Tolerant Techniques
for Power Electronic Converters. IEEE Transactions on Power
Electronics, 29(12):6319–6331, dec 2014.
[8] Yao Sun,Wenjing Xiong, Mei Su, Xing Li, Hanbing Dan, and Jian Yang.
Topology and modulation for a new multilevel diode-clamped matrix
converter. IEEE Transactions on Power Electronics, 29(12):6352–
6360, 2014.
[9] Johann W Kolar, Frank Schafmeister, Simon D Round, and Hans Ertl.
Novel three-phase AC–AC sparse matrix converters. IEEE transactions
on power electronics, 22(5):1649–1661, 2007.
[10] L. Huber and D. Borojevic. Space vector modulated three-phase to
three-phase matrix converter with input power factor correction. IEEE
Transactions on Industry Applications, 31(6):1234–1246, 1995.
[11] D. Casadei, G. Serra, A. Tani, and L. Zarri. Matrix converter modulation
strategies: a new general approach based on space-vector representation
of the switch state. IEEE Transactions on Industrial Electronics,
49(2):370–381, apr 2002.
[12] Yao Sun,Wenjing Xiong, Mei Su, Xing Li, Hanbing Dan, and Jian Yang.
Carrier-Based Modulation Strategies for Multimodular Matrix Converters.
IEEE Transactions on Industrial Electronics, 63(3):1350–1361,
mar 2016.
[13] Yao Sun,Wenjing Xiong, Mei Su, Hanbing Dan, Xing Li, and Jian Yang.
Modulation Strategies Based on Mathematical Construction Method
for Multimodular Matrix Converter. IEEE Transactions on Power Electronics,
31(8):5423–5434, aug 2016.
[14] Huai Wang, Marco Liserre, Frede Blaabjerg, Peter de Place Rimmen,
John B. Jacobsen, Thorkild Kvisgaard, and Jorn Landkildehus. Transitioning
to Physics-of-Failure as a Reliability Driver in Power Electronics.
IEEE Journal of Emerging and Selected Topics in Power Electronics,
2(1):97–114, mar 2014.
[15] Sangshin Kwak. Fault-Tolerant Structure and Modulation Strategies
With Fault Detection Method for Matrix Converters. IEEE Transactions
on Power Electronics, 25(5):1201–1210, may 2010.
[16] Sudarat Khwan-on, Liliana de Lillo, Lee Empringham, and Pat
Wheeler. Fault-Tolerant Matrix Converter Motor Drives With Fault Detection
of Open Switch Faults. IEEE Transactions on Industrial Electronics,
59(1):257–268, jan 2012.
[17] Sangshin Kwak and Hamid A. Toliyat. Fault-Tolerant Topologies
and Switching Function Algorithms for Three-Phase Matrix Converter
based AC Motor Drives Against Open and Short Phase Failures. In
2007 IEEE International Electric Machines & Drives Conference. IEEE,
may 2007.
[18] Sangshin Kwak. Four-Leg-Based Fault-Tolerant Matrix Converter
Schemes Based on Switching Function and Space Vector Methods.
IEEE Transactions on Industrial Electronics, 59(1):235–243, jan 2012.
[19] Edorta Ibarra, Jon Andreu, Inigo Kortabarria, Enekoitz Ormaetxea,
and Eider Robles. A fault tolerant space vector modulation strategy
for matrix converters. In 2009 35th Annual Conference of IEEE Industrial
Electronics. IEEE, nov 2009.
[20] Panagiotis G. Potamianos, Epaminondas D. Mitronikas, and Athanasios
N. Safacas. Open-Circuit Fault Diagnosis for Matrix Converter
Drives and Remedial Operation Using Carrier-Based Modulation Methods.
IEEE Transactions on Industrial Electronics, 61(1):531–545, jan
2014.
[21] Steven X Ding. Model-based fault diagnosis techniques: design
schemes, algorithms, and tools. Springer Science & Business Media,
2008.
[22] S.M.A. Cruz, M. Ferreira, and A.J.M. Cardoso. Output error voltages
- a first method to detect and locate faults in matrix converters. In
2008 34th Annual Conference of IEEE Industrial Electronics. IEEE,
nov 2008.
[23] Sérgio M. A. Cruz, Marco Ferreira, André M. S. Mendes, and António
J. Marques Cardoso. Analysis and Diagnosis of Open-Circuit
Faults in Matrix Converters. IEEE Transactions on Industrial Electronics,
58(5):1648–1661, may 2011.
[24] Khiem Nguyen-Duy, Tian-Hua Liu, Der-Fa Chen, and John Y. Hung.
Improvement of Matrix Converter Drive Reliability by Online Fault Detection
and a Fault-Tolerant Switching Strategy. IEEE Transactions on
Industrial Electronics, 59(1):244–256, jan 2012.
[25] Sérgio M. A. Cruz, André M. S. Mendes, and António J. Marques Cardoso.
A New Fault Diagnosis Method and a Fault-Tolerant Switching
Strategy for Matrix Converters Operating With Optimum Alesina-
Venturini Modulation. IEEE Transactions on Industrial Electronics,
59(1):269–280, jan 2012.
[26] Peter Vas. Artificial-intelligence-based electrical machines and drives:
application of fuzzy, neural, fuzzy-neural, and genetic-algorithm-based
techniques, volume 45. Oxford university press, 1999.
[27] F. Fiippetti and P. Vas. Recent developments of induction motor drives
fault diagnosis using AI techniques. In IECON 98. Proceedings of
the 24th Annual Conference of the IEEE Industrial Electronics Society
(Cat. No.98CH36200). IEEE.
[28] S. Hayashi, T. Asakura, and Sheng Zhang. Study of machine fault diagnosis
system using neural networks. In Proceedings of the 2002
International Joint Conference on Neural Networks. IJCNN02 (Cat.
No.02CH37290). IEEE.
[29] Sheng ZHANG, Toshiyuki ASAKURA, Xiaoli XU, and Baojie XU. Fault
Diagnosis System for Rotary Machine Based on Fuzzy Neural Networks.
JSME International Journal Series C, 46(3):1035–1041, 2003.
[30] A. Bernieri, M. DApuzzo, L. Sansone, and M. Savastano. A neural
network approach for identification and fault diagnosis on dynamic
systems. IEEE Transactions on Instrumentation and Measurement,
43(6):867–873, 1994.
Published
2020-01-30
How to Cite
IRAJI, Farzad; NATEGHI, Alireza; FARJAH, Ebrahim.
Open-Switch Fault Diagnosis System Based on One Current Sensing for a Matrix Converter Using Neural Network.
Journal of Power Technologies, [S.l.], v. 99, n. 4, p. 289–294, jan. 2020.
ISSN 2083-4195.
Available at: <https://papers.itc.pw.edu.pl/index.php/JPT/article/view/1585>. Date accessed: 22 dec. 2024.
Issue
Section
Power Converters
Keywords
Fault Diagnosis, Matrix Convertere, Neural Network
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