Year: 2009
Type: conference-paper
Abstract: 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 premonition 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.
Authors: Yang Yu, Yu‐Fei Wu, Jian Wan, B Chen
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2752001722