| 1 A Computational Intelligence Approach To Railway Track Intervention Planning (2008) | |||||||||||||||
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| Summary. Railway track intervention planning is the process of specifying the location and time of required maintenance and renewal activities. To facilitate the process, decision support tools have been developed and typically use an expert system based approach with rules specified by track maintenance engineers. However, due to the complex interrelated nature of component deterioration it is problematic for an engineer, using a rule based approach, to consider all combinations of possible deterioration mechanisms. To address this, this chapter describes an approach to intervention planning which uses a variety of computational intelligence techniques. The proposed system learns rules for maintenance from historical data and incorporates future data as they become available thus improving the performance of the system over time. A failure type determination function analyses historical deterioration patterns of sections of track, and a Rival Penalized Competitive Learning algorithm determines possible failure types. A generalized two stage evolutionary algorithm is used to produce curve functions for this purpose. The approach is illustrated using an example with real data which demonstrates that the proposed methodology is suitable and effective for the task in hand. 2 Derek Bartram, Michael Burrow, and Xin Yao 1.1 | |||||||||||||||
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