The Application of NN-DS Theory in Natural Gas Pipeline Network Leakage Diagnosis

摘要：

For the problems of low precision of conventional leakage diagnosis methods, the paper presents a novel natural gas pipeline network leakage diagnosis approach based on neural network and DS evidence theory. The principle is that different symptom information is dealt with by neural network and the result preprocessed is taken to the two levels information fusion by evidence theory for final diagnosis result. The approach makes full use of redundant and complementary leakage information. Computer simulation validates the approach is feasible. Detection results show that the approach improves the precision of leakage diagnosis and decreases the recognition uncertainty.

关键词： NN-DS theory pipeline network leakage diagnosis sensor node

作者: Yang Yu Yinfeng Wu Jiangwen Wan Bin Chen

作者单位: School of Instrument Science and Opto-Electronic Engineering, Beihang University, Beijing, China 100191

会议类型: 国际会议

会议名称: 第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)

会议地点: 重庆

会议语种:英文

页码: 1679-1682

在线出版日期: 2009-08-01（万方平台首次上网日期，不代表论文的发表时间）