BG
RU
|
Scientific paper ID 1021 : 2014/3
SIGNAL ANALYSIS TECHNIQUES FOR RAIL VEHICLE MODEL VALIDATION
Nebojša Bogojević The recent improvements in computer technology and a better understanding of mathematical problems lead to the creation of very complex models. One of the more important steps in the model development process is the model validation and verification, especially if the model should be used to support decision making. A desire to explain and predict a system behavior in the past decades in the literature has led to development of several validation techniques and validation metrics. The categorization of validation techniques as well and description of different validation metrics have been presented in this paper. The discussion on advantages and disadvantages several validation metrics on an example of validation of rail vehicle have been presented in this paper.
валидиране проверка моделиране обработка на сигнала validation verification modeling signal processingNebojša Bogojević BIBLIOGRAPHY [1] Oberkampf, W. L., Trucano, T. G., and Hirsch, C. “Verification, Validation, and Predictive Capability in Computational Engineering and Physics,” Appl. Mech. Rev., 57(3), pp. 345–384, (2004) [2] Sornette, D., Davis, A. B., Ide, K., Vixie, K. R., Pisarenko, V., and Kamm, J. R., “Algorithm for Model Validation: Theory and Applications,” Proc. Natl. Acad. Sci. U.S.A., 104(16), pp. 6562–6567, (2007) [3] Ben H. Thacker, Scott W. Doebling, Francois M. Hemez, Mark C. Anderson, Jason E. Pepin, Edward A. Rodrigez, „Concepts of model verification and validation“, Los Alamos National Laboratory, Los Alamos, (2004) [4] S.D. Iwnicki, A.H. Wickens, Validation of a MATLAB Railway Vehicle Simulation Using a Scale Roller Rig, Vehicle System Dynamics, Volume: 30, Issue: 3, Publisher: Citeseer, Pages: 257–270, ISSN: 00423114, DOI:10.1080/00423119808969451, (1998) [5] Pelle Carlbom, Carbody and Passengers in Rail Vehicle Dynamics, Doctoral Thesys, TRITA - FKT 2000:48, ISSN 1103 - 470X, ISRN KTH/FKT/D- -00/48- -SE [6] J.R. Evans & P.Ј. Rogers “Validation of dynamic simulations of rail vehicles with friction damped y25 bogies”, Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility, 29:S1, 219-233, http://dx.doi.org/10.1080/00423119808969561... [7] Sprague, M. A., and Geers, T. L., “A Spectral-Element Method for Modelling Cavitation in Transient Fluid-Structure Interaction,” Int. J. Numer. Methods Eng., 15, pp. 2467–2499, (2004) [8] Russell, D. M., “Error Measures for Comparing Transient Data: Part I, Development of a Comprehensive Error Measure,” Proceedings of the 68th Shock and Vibration Symposium, Hunt Valley, MD, (1997) [9] Russell, D. M., “Error Measures for Comparing Transient Data: Part II, Error Measures Case Study,” Proceedings of the 68th Shock and Vibration Symposium, Hunt Valley, MD,(1997) [10] H. Sarin, M. Kokkolaras, G. Hulbert, P. Papalambros, S. Barbat and R.J. Yang, “A comprehensive metric for comparing time histories in validation of simulation models on emphasis on vehicle safety applications”, Proceedings of the ASME 2008 International Design Engineering Technical Conference and Computers and Information in Engineering Conference, (2009) [11] A. Kolmogoroff, “Confindence limits for an unknown distribution function”, Ann. Mathh. Statist. 12 461-463, (1941) [12] Anderson, T. W., Darling, D. A. "Asymptotic theory of certain "goodness-of-fit" criteria based on stochastic processes". Annals of Mathematical Statistics 23: 193–212. doi:10.1214/aoms/1177729437, (1952). [13] Scott Ferson, William L. Oberkampf, Lev Ginzburg, “Model validation and predictive capability for the thermal challenge problem”, Comput. Methods Appl. Mech. Engrg. 197 2408-2430,(2008) [14] Yu Liu, Wei Chen, Paul Arendt, Hong-Zhong Huang, Toward a Better Understandingof Model Validation Metrics, Journal of Mechanical Design, July 2011, Vol. 133, DOI: 10.1115/1.4004223 |
