信息与控制2018,Vol.47Issue(1):22-28,7.DOI:10.13976/j.cnki.xk.2018.0022
基于信息物理系统架构分支管道泄漏定位
Leakage Location of Branch Pipeline Based on Cyber-physical System Architecture
摘要
Abstract
We propose a branch pipeline leakage location based on cyber-physical system ( CPS ) architecture to solve the problem that the data between multiple pipeline leakage monitoring systems cannot be shared and be located at the same time. Firstly, the singular point of pressure signals at the ends of the pipeline with multi-branch was analyzed via the wavelet packet analysis so that the time feature samples could be established. We introduced Fischer-Burmeister function into the learning process of the double support vector machine to avoid the inverse calculation of the matrix when the objective function has been solved. The data sample was, thus, used as the input of the improved twin-support vector machine algorithm for leakage location. The simulation results showed that the method could locate the pipeline leakage point more quickly and accurately than the Back propagation neural network method, the radial basis function neural network method, and the twin sup-port vector machine method.关键词
信息物理系统(CPS)/管道泄漏/漏点位置/双支持向量机/信号奇异值Key words
cyber-physical system ( CPS)/pipeline leakage/leak location/twin support vector machine/signal singular value分类
信息技术与安全科学引用本文复制引用
阚哲,郎宪明,王晓蕾..基于信息物理系统架构分支管道泄漏定位[J].信息与控制,2018,47(1):22-28,7.基金项目
辽宁省自然科学基金资助项目(201602468) (201602468)