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