Abstract
For reasonable establishing of maintenance strategies, safety security and cost limitation must be considered at the same time. In this paper, the concept of system reliability introduces and optimizes as the key of reasonable maintenance strategies. This study aims at optimizing component’s reliability that satisfies the target reliability of brake system in the urban transit. First of all, constructed reliability evaluation system is used to predict and analyze reliability. This data is used for the optimization. To identify component reliability in a system, a method is presented in this paper which uses hybrid neuro-genetic technique. Feed-forward multi-layer neural networks trained by back propagation are used to find out the relationship between component reliability (input) and system reliability (output) of a structural system. The inverse problem can be formulated by using neural network. Genetic algorithm is used to find the minimum square error. Finally, this paper presents reasonable maintenance cycle of urban transit brake system by using optimal system reliability.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Bae, C. H., Kim, S. B., Lee, H. Y., Chang, S. H. and Suh, M. W., 2005, “A Study on Development of the Reliability Evaluation System for VVVF Urban Transit,”Transactions of KSAE, Vol. 13, No. 5, pp. 1–8.
Bae, C. H., Lee, H. Y., Kim, K. H. and Suh, M. W., 2004, “Modeling and Implementation of a Master BOM Management System Using Component Technique for Maintenance System of Urban Transit,”KSAE, 2004 Spring Conference Proceedings, Vol. 3, pp. 1385–1390.
Fahlman, S. E. and Lebiere, C., 1990, “The Cascade-Correlation Learning Architecture,” In Touretzky, D. S., Hinton, G. and Sejnowski, T., editors,Advances in Neural Information Processing Systems II, Morgan Kaufmann.
Fogel, L. J., Owens, A. J. and Walsh, M. J., 1966,Artificial Intelligence Through Simulated Evolution, New York: Wiley Publishing.
Garcia Marquez, F. P., Schnid, F. and Collado, J. C., 1993, “A Reliability Centered Approach to Remote Condition Monitoring,”Reliability Engineering and System Safety, pp. 33–40.
Goldberg, D., 1989,Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, MA.
Holland, J. H., 1975,Adaptation in Natural and Artificial Systems, Ann Arbor, Michigan: The University of Michigan Press.
Jacobs, K. S., 1998, “Reducing Maintenance Workload Through Reliability-Centered Maintenance (RCM),”American Society of Naval Engineers, Vol. 110, No. 4, pp. 88–95.
Kim, K. H., Bae, C. H., Lee, H. Y. and Suh, M. W., 2004, “A Study on the Standardization of Failure Classification Method for IT Maintenance System of Urban Transit,”KSAE, 2004 Spring Conference Proceedings, Vol. 3, pp. 1361–1365.
Lee, H. Y., Bae, C. H., Kim, K. H., Suh, M. W., 2005, “A Study on Implementation of a BOM Management System Using Component Technique for Maintenance System of Urban Transit,”Transactions of the Korean Society of Mechanical Engineers, Vol. 29, No. 1, pp. 124–131.
Lee, H. Y., Park, K. J., Ahn, T. K., Kim, G. D., Yoon, S. K. and Lee, S. I., 2003, “A Study on the RAMS for Maintenance CALS System for Urban Transit,”Korean Society for Railway, Vol. 6, No. 2, pp. 108–113.
Lee, K. S., Goo, B. C., Yoo, W. H. and Seo, J. W., 2001,A Study on the Development of Standardization and Information to Maintenance System for Urban Transit, Korean Railroad Research Institute, Seoul, pp. 217–262.
Mettas Adamantios, 2000, “Reliability Allocation and Optimization for Complex Systems,”Proceedings Annual Reliability and Maintainability Symposium, pp. 216–221.
Rechenberg, I., 1973,Evolutions Strategie: Optimierung Technischer Systeme Nach Prinzipien Der Biologischen Evolution, Frommann-Holzboog, Stuttgart.
Relex Software Co., 2002,A Guide Book for Reliability Prediction, Kyo Woo Sa Press, Seoul, pp. 4–7.
Richard, B. J., 1995,Risk-Based Management: A Reliability-Centered Approach, Houston US: Gulf Publishing Company.
Rumelhart, D. E., Hinton, G. E. and Williams, R. J., 1986, “Learning Internal Representations by Error Propagation,” In Rumelhart, D. E. and McClelland, J. L., editors,Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 1, pp. 318–362, The MIT Press.
Smith, A. M., 1993,Reliability-Centered Maintenance, McGraw-Hill Inc.
Wada, Y. and Yamanashi, T., 1988, “Preventive Maintenance Technology for Old Hydro-Electric Power Generation Equipment,”Hitachi Review, Vol. 70, No. 8, pp. 49–54.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Bae, CH., Chu, Y., Kim, HJ. et al. A study on maintenance reliability allocation of urban transit brake system using hybrid neuro-genetic technique. J Mech Sci Technol 21, 32–47 (2007). https://doi.org/10.1007/BF03161710
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/BF03161710