孙昭晨

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:水利工程系

学科:港口、海岸及近海工程

电子邮箱:sunzc@dlut.edu.cn

扫描关注

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

A New Failure Detection Method and its Application in Leak Monitor of Pipeline

点击次数:

论文类型:会议论文

发表时间:2008-12-17

收录刊物:EI、CPCI-S、Scopus

页面范围:1178-+

关键字:sequential test; innovation; leakage detection; pipeline

摘要:A new failure detection method for abrupt change based on ESPRT and innovation theory is presented in this paper. This method realizes non-parameters detection by utilizing ESPRT to detect the innovation process generating in the innovation model, which enlarge the applicability of ESPRT. The paper establishes the innovation model by employing the nonlinear time series based on BP neural network and the leakage detection model of long pipe. The validity of the proposed method is verified by experiments. The results indicate that this method can detect leakage in real time.