Predictive Maintenance Model for Ballast Tamping

作者: Luis Filipe Caetano , Paulo Fonseca Teixeira

DOI: 10.1061/(ASCE)TE.1943-5436.0000825

关键词:

摘要: AbstractIn order to optimally schedule railway track maintenance operations, it is essential accurately estimate future conditions. This study proposes a geometry degradation model that considers uncertainties in the forecast by defining reliability parameter. The integrated multiobjective optimization approach assess strategies considering cost–reliability trade off. Finally, numerical application of real case presented. results show usefulness proposed guarantee required performance with effective investments.

参考文章(5)
David A. Van Veldhuizen, Gary B. Lamont, Evolutionary algorithms for solving multi-objective problems ,(2002)
Abdullah Konak, David W. Coit, Alice E. Smith, Multi-objective optimization using genetic algorithms: A tutorial Reliability Engineering & System Safety. ,vol. 91, pp. 992- 1007 ,(2006) , 10.1016/J.RESS.2005.11.018
Ghassan Abu-Lebdeh, Hui Chen, Mohammad Ghanim, Improving Performance of Genetic Algorithms for Transportation Systems: Case of Parallel Genetic Algorithms Journal of Infrastructure Systems. ,vol. 22, ,(2016) , 10.1061/(ASCE)IS.1943-555X.0000206