Natural gas pipeline leak detection based on data mining
Title
Natural gas pipeline leak detection based on data mining
Subject
Accidents
Classification algorithms
Data mining
Decision trees
Development trend
Materials
Natural gas
Natural gas pipeline leak
Objective law
Pipelines
Description
Using data mining's decision tree classification, DBSCN cluster analysis, and K-nearest neighbor algorithm realizes the information mining of natural gas pipeline leak, and alse uncovers the objective laws behind the natural gas pipeline transmission, intrinsically linking to the each parameter and development trend. We could reduce the risk of accidents and economic losses, in order to control the natural gas transmission in advance.
492-494
Creator
X. -f. Wang
Y. Wang
C. -l. Jiang
H. -w. Liang
Publisher
2011 International Conference on Consumer Electronics, Communications and Networks (CECNet)
Date
2011
Type
conferencePaper
Collection
Citation
X. -f. Wang et al., “Natural gas pipeline leak detection based on data mining,” Lamar University Midstream Center Research, accessed May 13, 2024, https://lumc.omeka.net/items/show/27258.