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

Publication Type:
Conference Proceeding
Proceedings of the 8th International Symposium on Test and Measurement (ISTM), 2009, 1-6 pp. 1679 - 1682 (4)
Issue Date:
Full metadata record
Files in This Item:
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.
Please use this identifier to cite or link to this item:

Not enough data to produce graph