| 基于支持向量机的射孔枪结构优化设计方法 |
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| 引用本文： | 邹宽城,常亚萍,韩秀清.基于支持向量机的射孔枪结构优化设计方法[J].石油机械,2009,37(1). |
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| 作者姓名： | 邹宽城 常亚萍 韩秀清 |
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| 作者单位： | 长春工业大学 |
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| 基金项目： | 国家高技术研究发展计划(863计划)，吉林省科技发展计划项目 |
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| 摘 要： | 针对石油射孔枪结构的非线性因素导致其建模困难的问题,利用基于Hilbert变换的动力学系统非线性检测因子作为加权因子,提出了一种改进的加权最小二乘支持向量机非线性建模方法。利用有限元分析得出的数据对模型进行校验,最后利用改进的遗传算法对射孔枪结构进行优化。有限元仿真验证表明,优化结果与有限元结果最大的相对误差为2.6%,也说明基于改进的加权最小二乘支持向量机和遗传算法的优化方法用于射孔枪结构优化是十分有效的。
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| 关 键 词： | 射孔枪 结构优化 支持向量机 遗传算法 |
Structural optimization and design method of perforating gun based on support vector machine |
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| Zou Kuancheng,Chang Yaping,Han Xiuqing.Structural optimization and design method of perforating gun based on support vector machine[J].China Petroleum Machinery,2009,37(1). |
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| Authors: | Zou Kuancheng Chang Yaping Han Xiuqing |
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| Abstract: | Since the nonlinear factor of perforating gun structure leads to difficulty of modeling,a modified Hilbert Transform Weighted Least Square Support Vector Machines(HWLS-SVM)nonlinear modeling method is proposed by using Hilbert transformed dynamic systems nonlinear testing factor as weighting factor.The data obtained from finite-element analysis are used to examine the model and the improved genetic algorithm(GA)is applied to optimize the perforating gun structure.The FEM simulating results show that the parameter optimization method based on HWLS-SVM and GA is very effective for the optimal design of perforating gun structure. |
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| Keywords: | perforating gun structural optimization support vector machine genetic algorithms |
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