Abstract
(Component) fault tree analysis is a safety analysis technique of embedded systems. Importance analysis estimates the respective contributions of potential basic failures to an overall system failure. The analysis results are typically represented in data-aggregated forms. There are only few associations between these forms and component fault tree structures that provide meaningful information. In this paper, we propose a visualization approach that integrates the importance analysis results with structures of component fault trees. This approach facilitates the identification of the critical components and supports the analysis of the influence of the important basic failures.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
IEC. Functional safety of electrical/electronic/programmable electronic safety-related systems. International Standard IEC 61508 (2000)
IEC. Fault Tree Analysis. International Standard IEC 61025, Geneva (1990)
Vesely, W.E., Dugan, J., Fragola, J., Minarick III, J., Railsback, J., Stamatelatos, M.: Fault Tree Handbook with Aerospace Applications. NASA (2002)
Vesely, W.E., Goldberg, F.F., Roberts, N.H., Haasl, D.F.: Fault Tree Handbook. U.S.Nuclear Regulatory Commission (1981)
Kaiser, B., Liggesmeyer, P., Maeckel, O.: A new component concept for fault trees. In: Proceedings of the 8th Australian Workshop on Safety Critical Systems and Software (SCS 2003), Adelaide, Australia, pp. 37–46 (2003)
Stamatelatos, M., Apostolakis, G., Dezfuli, H., Everline, C., Guarro, S., Moieni, P., Mosleh, A., Paulos, T., Youngblood, R.: Probabilistic Risk Assessment Procedures Guide for NASA Managers and Practitioners. NASA (2002)
Fussell, J.B.: How to hand calculate system reliability characteristics. IEEE Transactions on Reliability R-24(3), 169–174 (1975)
Aldservice. RAMCommander, http://www.aldservice.com (accessed June 15, 2012)
ReliaSoft. BlockSim, http://www.reliasoft.com/BlockSim (accessed June 15, 2012)
University of Kaiserslautern. ESSaREL, http://www.essarel.de (accessed June 15, 2012)
Kruskal, J.B., Landwehr, J.M.: Icicle Plots: Better Displays for Hierarchical Clustering. The American Statistician 37(2), 162–168 (1983)
Shneiderman, B.: Tree visualization with tree-maps: 2-D space-filling approach. ACM Trans. Graph. 11(1), 92–99 (1992)
Stasko, J., Zhang, E.: Focus+Context Display and Navigation Techniques for Enhancing Radial, Space-Filling Hierarchy Visualizations. In: Proceedings of the IEEE Symposium on Information Visualization 2000 (INFOVIS 2000), pp. 57–65. IEEE Computer Society, Washington, DC (2000)
Barlow, T., Neville, P.: A Comparison of 2-D Visualizations of Hierarchies. In: Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS 2001), pp. 131–138. IEEE Computer Society (2001)
McGuffin, M.J., Robert, J.-M.: Quantifying the space-efficiency of 2D graphical representations of trees. Information Visualization 9(2), 115–140 (2010)
Ghoniem, M., Fekete, J.-D., Castagliola, P.: A comparison of the readability of graphs using node-link and matrix-based representations. In: Proceedings of the IEEE Symposium on Information Visualization 2004, pp. 17–24 (2004)
Keller, R., Eckert, C.M., Clarkson, P.J.: Matrices or node-link diagrams: which visual representation is better for visualising connectivity models? Information Visualization 5, 62–76 (2006)
The Robotics Research Lab at the University of Kaiserslautern. RAVON (Robust Autonomous Vehicle for Off-road Navigation), http://agrosy.informatik.uni-kl.de (accessed June 15, 2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yang, Y., Keller, P., Liggesmeyer, P. (2012). Visual Approach Facilitating the Importance Analysis of Component Fault Trees. In: Ortmeier, F., Daniel, P. (eds) Computer Safety, Reliability, and Security. SAFECOMP 2012. Lecture Notes in Computer Science, vol 7613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33675-1_46
Download citation
DOI: https://doi.org/10.1007/978-3-642-33675-1_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33674-4
Online ISBN: 978-3-642-33675-1
eBook Packages: Computer ScienceComputer Science (R0)