Research on Gas Pipeline Leakage Detection and Localization Based on Diagonal Recurrent Neural Network

摘要：

A new method is put forward to detect and locate the gas pipeline leakage, which designed a dynamic network model DRNN. The samples of the network are composed of pressure and flowrate data of all kinds of working conditions. The experiment results verify that the model can describe the gas flow - characteristic in the pipeline, as well as detect the leakage and locate the leakage position.

关键词： pipeline leakage detection & localization DRNN

作者: YAO Zhi-ying PENG Guang-zheng ZHANG Ya-li

作者单位: School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081,China Chinese Peoples Public Security University, Beijing 100038,China

会议类型: 国际会议

会议名称: 2006中日稻米品质测控及美味技术学术研讨会

会议地点: 北京

会议语种:英文

页码: 93-94

在线出版日期: 2006-08-03（万方平台首次上网日期，不代表论文的发表时间）