Availability and Reliability Performance Analysis of Traction Frequency Converters - A Case Study


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Abstract


The frequency converter is one of the main parts of the traction power supply system (TPSS) and converts adequate traction power from the power company to the electric vehicle. In the Swedish railway network, this system comprises around 133 frequency converters with a total capacity reach of 1,295 MVA and covers around 9,543 km of electrified railway. The aim of this article is to evaluate and compare the reliability, availability and maintainability (RAM) performances of the ten models of converters used in the Swedish railway system. The key performance indicators introduced by the IEEE Std 762 methodology have been used to measure and compare the RAM performance of the converters. Moreover, the mean cumulative function (MCF) has also been used for the monitoring and comparison of the field reliability of converters versus the operating time, capacity factor and converted power. The study shows that, in general, both the static and the rotary types have a high level of availability ranging from 97%-99%. The results also show that the TGTO model (a static type) has the lowest RAM performance among all the models. In addition, it has been found that using IEEE Std762 or the MCF alone does not always provide a complete answer. Therefore, the study suggests using both the IEEE Std762 and the MCF methodology to arrive at a more realistic result. The study has shown that the MCF based on the capacity factor gives a good result compared with the results obtained using the MCFbased on the operating time and on the converted power as a measure of the usage intensity
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Keywords


Availability; Frequency Converter; Traction Power Supply System; Mean Cumulative Function; Recurrence Event Data; IEEE Std 762; RAM Analysis; Railway Systems

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References


S. K. Chen, T. K. Ho and B. H. Mao, Reliability evaluations of railway power supplies by fault-tree analysis,IET Electric Power Applications 1(2),2007, pp. 161-172.

B. Ku and J. Cha, Reliability assessment of catenary of electric railway by using FTA and ETA analysis,10th International Conference OnPRESENTED AT ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC), 2011.

A. Birolini, Reliability Engineering,Theory and Practice(Springer Berlin Heidelberg, 2010).

A. Elsayed. Reliability engineering (John Wiley & Sons, 2012).

Institution of Electrical and Electronics Engineers (IEEE), IEEE standard definitions for use in reporting electric generating unit reliability, availability, and productivity,IEEE Std 762-2006 (Revision of IEEE Std 762-1987), 2007, pp. C1-66.

W. R. Blischke, M. R. Karim and D. N. P. Murthy, Warranty Data Collection and Analysis,(Springer Series in Reliability Engineering, 2011).

D. N. P. Murthy, M. Rausand and T. Østerås, An introduction to reliability theory, (Product ReliabilityAnonymous Springer Series in Reliability Engineering, 2008, pp. 55).

Yang Yuan, Wu Jun Yong and Xie Jiang Jian, Reliability evaluation of a bulk power system for the traction power supply system of a high-speed railway,Presented at Reliability and Maintainability Symposium, (RAMS) 2009.

H. Kim, G. Heo, H. Lee, D. J. Kim and J. -. Kim, The failure analysis in traction power system,AIP Conference Proceedings, 2008, 1052pp. 63-67.

S. Sagareli, Traction power systems reliability concepts,ASMEConference Proceedings, 2004.

L. X. Min, W. J. Yong, Y. Yuan and X. W. Yan,Multiobjective optimization of preventive maintenance schedule on traction power system in high-speed railway. In Reliability and Maintainability Symposium, RAMS 2009, Annual (pp. 365-370).

O. Duque, A. L. Zorita, L. A. García-Escudero and M. A. Fernández, Criticality determination based on failure records for decision-making in the overhead contact line system,Journal of Rail and Rapid Transit, 2009, 223(F5), pp. 485.

K. A. H. Kobbacy and D. N. P. Murthy, Maintenance outsourcing, in Complex System Maintenance Handbook, Springer Series in Reliability Engineering, 2008, pp. 373.

H. Ascher and H. Feingold, Repairable Systems Reliability Modeling, Inference, Misconceptions and their Causes,(Marcel Dekker, New York, 1984).

J. Block, A. Ahmadi, T. Tyrberg and U. Kumar,Fleet-level reliability analysis of repairable units a non-parametric approach using the mean cumulative function,International Journal of Performability Engineering, 2013, 9(3), pp. 333.

S. E. Rigdon and A. P. Basu, Statistical Methods for the Reliability of Repairable Systems (Wiley, 2000).

W. Q. Meeker and L. A. Escobar, Statistical Methods for Reliability Data (Wiley, New York, 1998).

H. F. Martz and R. A. Waller, Bayesian Reliability Analysis (Malabar, Krieger publishing company, Florida, 1991).

NES Document TS02, Requirements on rolling stock in Norway and Sweden regarding EMC with the electrical infrastructureand coordination with the power supply and other vehicles (Technical Specification from the Nes group, 2009).

Y. A. Mahmood, A. Ahmadi, R. Karim, U. Kumar, A. K. Verma and N. Fransson, Comparison of frequency converter outages: A case study on the Swedish TPS system, World Academy of Science, Engineering and Technology, Issue 71, Nov 2012,Paris, pp. 2298.

L. Shi. Comparison of solid-state frequency converter and rotary frequency converter in 400Hz power system.International Conference On ELECTRICAL MACHINES AND SYSTEMS (ICEMS), 2011.

C. Heising. Modelling of rotary converter in electrical railway traction power-systems for stability analysis,Electrical Systems for Aircraft, Railway and Ship Propulsion (ESARS),IEEE 2010.

G. F. M. de Souza. Thermal Power Plant Performance Analysis (Springer, 2012).

T. E. Ekstrom, Reliability/availability guarantees of gas turbine and combined cycle generating units,IEEE Transactions on Industry Applications 31(4), 1995, pp. 691-707.

W. Nelson, An application of graphical analysis of repair data,Quality and Reliability Engineering International, 14(1),1998, pp. 49-52.

T. Halim and Loon-Ching Tang, An age-adjusted comparison of field failure data for repairable systems,Presented at Reliability and Maintainability Symposium, (RAMS 2008). Annual 2008.

D. Trindade and S. Nathan, Simple plots for monitoring the field reliability of repairable systems, Presented at RELIABILITY AND MAINTAINABILITY SYMPOSIUM, 2005.

K. B. Misra, Handbook of Performability Engineering (Springer 2008).

B. Foucher, A review of reliability prediction methods for electronic devices,Microelectron. Reliab. 42(8), 2002, pp. 1155.

Liu Fan-mao, Zhu Haiping, Shao Xinyu and Guo Lei, Simple plots for analysis of the field reliability of horizontal machining centre,International Conference OnINTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA), 2010.

A. Z. Al Garni, Graphical techniques for managing field failures of aircraft systems and components,Journal of Aircraft, 2009, 46(2), pp. 608-616.

D. Bumblauskas, Maintenance and recurrent event analysis of circuit breaker data,The International Journal of Quality Reliability Management 29(5), 2012, pp. 560-575.

W. Nelson, Graphical analysis of system repair data,Journal of Quality Technology 20(1), 1988, pp. 24-35.

M. G. Donaldson, Utility of the mean cumulative function in the analysis of fall events,The Journals of Gerontology, Series A, Biological Sciences and Medical Sciences 62(4), 2007, pp. 415.

G. M. Curley, Power plant performance indices in new market environment: IEEE standard 762 working group activities and GADS database,Presented at POWER ENGINEERING SOCIETY GENERAL MEETING, IEEE 2006.

S. A. DellaVilla, S. L. Hartman and S. J. Elms, ORAP: Operational reliability analysis program-a gas turbine and combined cycle power plant reliability reporting system, IEEETransactions onIndustry Applications, IEEE 29(5), 1993, pp. 1022-1028.

M. Čepin, Reliability and performance indicators of power plants, Assessment of Power System Reliability, Methods and Applications, (Springer-Verlag London Limited 2011, pp. 197-214).

Y. A. Mahmood, R. Karim and M. Aljumaili, Assessment of reliability data for traction frequency converters using IEEE std 762 – A study at Swedish railway, The 2nd International Workshop and Congress on eMAINTENANCE, Luleå, Sweden, Dec 2012, pp. 171.


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