Pipeline Network Leakage Diagnosis Based on Distance Data Fusion

Xiu Fang Wang; Xue Ming Li; Qi Yang; De Xin Qin

doi:10.4028/www.scientific.net/AMM.303-306.918

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 303-306Pipeline Network Leakage Diagnosis Based on...

Pipeline Network Leakage Diagnosis Based on Distance Data Fusion

Abstract:

The novel scheme of data fusion is a kind of evidence theories based on distance. We calculate the weight coefficients according to the structure of network and distances matrix between points and sensors. The greater the distance is, the smaller the coefficient will be. Experimental results show that, the proposed algorithm works well with high conflicts and fits characteristics of network.

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Periodical:

Applied Mechanics and Materials (Volumes 303-306)

Pages:

918-921

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.303-306.918

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Online since:

February 2013

Authors:

Xiu Fang Wang, Xue Ming Li, Qi Yang, De Xin Qin

Keywords:

Distance Weight, Pipeline Network Leakage Diagnosis, Weighted Evidence Theory

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