| 基于LS SVM的大坝多测点潜变量监控模型 |
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| 引用本文： | 陈瑞兴,程〓琳.基于LS SVM的大坝多测点潜变量监控模型[J].水电能源科学,2012,30(10):80-82. |
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| 作者姓名： | 陈瑞兴 程〓琳 |
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| 作者单位： | 中国华电集团公司 福建分公司， 福建 福州 350001;河海大学 水利水电学院， 江苏 南京 210098 |
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| 摘 要： | 为安全监控大坝,以棉花滩大坝为例,提出了一种多测点监测数据的方法,通过对环境变量和大坝效应量之间关系的分析,将多测点监测量转换为几个相互独立的潜变量来实现多测点数据的降噪和减缩,并采用最小二乘支持向量机(LS-SVM)建立环境变量因子对潜变量的预测模型,以实现对大坝状态的监控。
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| 关 键 词： | 环境变量 潜变量 最小二乘支持向量机 棉花滩大坝 |
Intrinsic Variable Monitoring Model of Multi-observation Points of Dam Based on LS-SVM |
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| CHEN Ruixing and CHENG Lin.Intrinsic Variable Monitoring Model of Multi-observation Points of Dam Based on LS-SVM[J].International Journal Hydroelectric Energy,2012,30(10):80-82. |
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| Authors: | CHEN Ruixing and CHENG Lin |
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| Affiliation: | Fujian Subsidiary of China Huadian Corporation, Fuzhou 350001, China;College of Water Conservancy and Hydropower, Hohai University, Nanjing 210098, China |
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| Abstract: | A dam safety monitoring method based on multivariate monitoring data is proposed in this paper. Based on the analysis of the complex relationship between environmental variables and dam effect variables, multivariate monitoring data are converted to several independent intrinsic variables to realize denoising and reducing observation point data. And then the least squares support vector machines (LS SVM) model is adopt to establish the model for prediction intrinsic variables with environmental variables, which achieves to monitor dam state. |
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| Keywords: | environmental variable intrinsic variable LS SVM Mianhuatan dam |
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