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Study of Gas Pipeline Leak Detection Based on Hilbert Marginal Spectrum
Found in: 2012 Fourth International Conference on Computational and Information Sciences (ICCIS)
By Yang Hedeng,Zhang Laibing,Liang Wei,Ye Yingchun,Ren Yijing
Issue Date:August 2012
pp. 1259-1262
Gas pipeline leakage will lead to great economic losses. So, the study of leak detection on gas pipelines is very important. A leak detection method based on Hilbert-Huang transform (HHT) has been proposed. First, the signal is transformed via HHT, than th...
 
Study on Leakage Acoustic Signal in Natural Gas Pipeline
Found in: 2012 Fourth International Conference on Computational and Information Sciences (ICCIS)
By Ye Yingchun,Zhang Laibin,Liang Wei
Issue Date:August 2012
pp. 1244-1247
The leakage is a serious threat to safety in natural gas transportation pipeline system. When the leakage is happening, the acoustic signal is generated by high-speed jet flow from inter pipelines. Leakage acoustic signal propagates within pipelines, and i...
 
Data Mining Technology Based Leak Detection Method for Crude Oil Pipeline
Found in: Computer Science and Information Engineering, World Congress on
By Liang Wei, Zhang Laibin, Ye Yingchun
Issue Date:April 2009
pp. 656-660
It is well known that the work condition of pipeline, the leak included, can be identified by a pressure signal analysis. Because of the high frequency data collection and always on-line pipeline leak detection, the pressure signal brings up massive data. ...
 
A Novel BP Algorithm for Pipeline Condition Recognition
Found in: Computer Science and Information Engineering, World Congress on
By Zhang Laibin, Ye Yingchun, Liang Wei, Yu Dongliang, Wang Zhaohui
Issue Date:April 2009
pp. 220-224
Because of kinds of regulating commands, Oil and gas pipelines in operation can occasionally generate a series of conditions consisting of stopping transportation, starting transportation, distribution, increment, internal pump regulation of single station...
 
Oil Pipeline Work Conditions Clustering Based on Simulated Annealing K-Means Algorithm
Found in: Computer Science and Information Engineering, World Congress on
By Ye Yingchun, Zhang Laibin, Liang Wei, Yu Dongliang, Wang Zhaohui
Issue Date:April 2009
pp. 646-650
With regards to the characteristics of work conditions on oil pipeline, such as complicated changes, lack of prior knowledge and difficult classification, simulated annealing K-means clustering algorithm are proposed. Samples, which include various work co...
 
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