| 基于分布估计算法的磁浮列车故障综合评判 |
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| 引用本文： | 龙志强,蔡楹,徐昕.基于分布估计算法的磁浮列车故障综合评判[J].控制与决策,2009,24(4). |
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| 作者姓名： | 龙志强 蔡楹 徐昕 |
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| 作者单位： | 国防科技大学,机电工程与自动化学院,长沙,410073 |
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| 基金项目： | 国家自然科学基金，湖南省自然科学基金 |
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| 摘 要： | 针对使用传统模糊综合评判方法进行故障级别评判时模型参数难以确定的问题.提出一种基于分布估计算法(EDA)的模糊综合故障评判方法.该方法利用EDA进行模糊评判模型的进化学习,能有效实现模糊模型参数的自动优化,并具有模型易于理解、计算效率高的优点.通过对磁浮列车悬浮系统的仿真实验,结果显示基于分布估计算法的模糊故障综合评判方法能获得优于传统进化算法和其他机器学习方法的评判效果,具有较好的应用价值.
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| 关 键 词： | 磁浮列车 模糊综合评判 进化算法 分布估计算法 机器学习 |
Comprehensive fault evaluation on maglev train based on estimation of distribution algorithms |
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| LONG Zhi-qiang,CAI Ying,XU Xin.Comprehensive fault evaluation on maglev train based on estimation of distribution algorithms[J].Control and Decision,2009,24(4). |
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| Authors: | LONG Zhi-qiang CAI Ying XU Xin |
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| Affiliation: | College of Mechatronics Engineering and Automation;National University of Defence Technology;Changsha 410073;China. |
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| Abstract: | To solve the problem of model parameter selection of traditional methods, a fuzzy fault evaluation method based on the estimation of distribution algorithms (EDAs) is presented in this paper. In the proposed method, fuzzy fault evaluation models are learned by using EDAs, which makes the parameters of that optimized. And the obtained model has the advantages of easy understandability and high computational efficiency. Simulation results on fault evaluation of maglev trains illustrate that the fuzzy fault ev... |
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| Keywords: | Maglev train Comprehensive fault evaluation Evolutionary algorithms EDAs Machine learning |
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