| 基于KPCA的FPSO流程故障检测方法 |
| |
| 引用本文： | 郝晓鹏,赵洪业,高强. 基于KPCA的FPSO流程故障检测方法[J]. 电子科技, 2013, 26(5): 109-111 |
| |
| 作者姓名： | 郝晓鹏 赵洪业 高强 |
| |
| 作者单位： | (天津理工大学 自动化学院,天津 300384) |
| |
| 摘 要： | 分析了核主元分析KPCA方法的基本原理,选取高斯核函数,利用核函数将样本数据映射到高维空间进行故障检测。针对小样本、非线性的问题,使用基于KPCA的故障检测方法,实现了核主元分析KPCA方法对浮式储油卸油生产系统FPSO流程中典型故障的检测,证明了KPCA方法的有效性。
|
| 关 键 词： | 核函数 核主元分析方法 故障检测 FPSO, |
Research on Fault Detection of FPSO Process Based on KPCA |
| |
| HAO Xiaopeng , ZHAO Hongye , GAO Qiang. Research on Fault Detection of FPSO Process Based on KPCA[J]. Electronic Science and Technology, 2013, 26(5): 109-111 |
| |
| Authors: | HAO Xiaopeng ZHAO Hongye GAO Qiang |
| |
| Affiliation: | (School of Automation,Tianjin Polytechnic University,Tianjin 300384,China) |
| |
| Abstract: | This paper analyzes the basic principle of Kernel Principal Component Analysis.The sample data are mapped to a higher dimensional space to detect the fault by using the Gaussian kernel function to solve the small samples and nonlinear problems.The kernel principal component analysis method is used to detect the fault validity in the production of floating storage and offloading systems. |
| |
| Keywords: | kernel function KPCA fault detection FPSO, |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《电子科技》浏览原始摘要信息 |
|
点击此处可从《电子科技》下载全文 |
|
