Abstract
This article presents the dependability analysis of a computing system controlling the traction system and especially the semiconductor current-converters of a modern electric locomotive. Following special aspects of this application are taken into account: different degrees of performance reduction, lurking errors, periodic tests, short repair times. The dependability evaluation started from a simple “symptomatic model” showing the stages of performance degradation. It turned out to be a very helpful visualisation aid when discussing the failure modes with the experts for the components concerned. The detailed knowledge about hardware failures and their effects was collected in one large FMEA-table. For the subsequent mathematical analysis an elaborate “FMEA-oriented Markov model” was automatically constructed from the FMEA-table. This approach proved to be efficient and straightforward, giving clear results and hints on which components have most influence on MTTF, which must possibly be redesigned or planned redundantly. The customer's special requirements could be taken into account by arbitrarily varying the sets of up- and down-states. The approach is assumed to be applicable to many similar problems of dependability evaluation.
Preview
Unable to display preview. Download preview PDF.
References
Barlow, R.E., J.E. Fussell, N.D. Singpurwalla, eds., (1975). Reliability and Fault Tree Analysis, Theoretical and Applied Aspects of System Reliability and Safety Assessment. Society for Industrial and Applied Mathematics (SIAM), Philadelphia.
Birolini, A. (1991). Qualität und Zuverlässigkeit technischer Systeme. 3rd edition. Springer, Berlin.
Cai, J. (1994). Reliability of a large consecutive-k-out-of-r-from-n:F system with unequal component-reliability. IEEE Trans. on Reliability 43: 107–111.
Csenski, A. (1994). The number of working periods of a repairable Markov system during a finite time interval. IEEE Trans. on Reliability 43: 163–169.
Dungan, J.B., K.S. Trivedi, R.M. Geist, N. Victor. (1984). Extended stochastic Petri nets: Applications and Analysis. In: Performance 84, E. Gelenbe, ed., Elsevier, Amsterdam.
Geist, R.M., K.S. Trivedi. (1990). Reliability estimation of fault-tolerant systems: Tools and techniques, IEEE Computer, Vol. 23, 52–62.
Haverkort, B.R., A.M.H. Meeuwissen (1995). Sensitivity & uncertainty analysis of Markov-reward models. IEEE Trans. on Reliability 44: 147–154.
Kim, K., K.S. Park. (1994). Phased-mission system reliability under Markov environment. IEEE Trans. on Reliability 43: 301–309.
Laprie, J.-C. (ed.) (1992). Dependable computing and fault tolerant systems (Vol.5); Dependability: Basic Concepts and terminology. Springer, Wien, New York.
Laprie, J.C., C. Beounes, M. Kaâniche K. Kanoun (1990). The transformation approach to the modelling and evaluation of the reliability and availability growth. Proc. 20th IEEE Int. Symp. Fault-Tolerant Computing, pp. 364–371.
Sericola, B. (1994). Interval-availability distribution of 2-state systems with exponential failures and phase type repairs. IEEE Trans. on Reliability 43: 335–343.
Zhao, M. (1994). Availability for repairable components and series systems. IEEE Trans. on Reliability 43: 329–334.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1996 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Draber, S., Eschermann, B. (1996). Dependability evaluation of a computing system for traction control of electrical locomotives. In: Hlawiczka, A., Silva, J.G., Simoncini, L. (eds) Dependable Computing — EDCC-2. EDCC 1996. Lecture Notes in Computer Science, vol 1150. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61772-8_34
Download citation
DOI: https://doi.org/10.1007/3-540-61772-8_34
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-61772-3
Online ISBN: 978-3-540-70677-9
eBook Packages: Springer Book Archive