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The acoustic signal is generated by high-speed jet flow from inter pipelines and is used to detect leakage. The acoustic signal has broadband and chaotic characteristic, its energy concentrate on low frequency region (<I00Hz) and mixes with complex noise. Traditional de-noise methods are not suitable for acoustic signals. A novel de-noise algorithm based on dual-tree complex wavelet transform and...
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 the Hilbert marginal spectrum will be acquired, which can reflect changing regularity of the signal amplitude. Through compare the marginal spectrum...
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 it can be collected by sensors. Leakage can be detected and located by leakage acoustic signal. The mechanisms of leakage acoustic signal is considerably...
The Support Vector Regression machine (SVR) is an effective tool to solve the problem of nonlinear prediction, but its prediction accuracy and generalization performances depend on the selection of parameters greatly. And the parameters selection is a procedure of global optimization search. Since the Differential Evolution (DE) population-based algorithm is a real coding optimal algorithm with powerful...
In order to identify oil pipeline work conditions accurately and quickly, fuzzy C-means algorithm method is applied to this paper. For obtaining clustering standard, sixteen groups of raw data, which include each work condition, are selected from massive pressure data collected in the field. Analyzed data for convenience, each group of raw data is normalized with mean zero and high-frequency noise...
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 or multi-stations, as well as valve opening-adjustment. These normal conditions together with the detected leakage condition can easily cause false...
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 condition changes of oil pipeline, are selected from pressure data collected in field. In order to analyze data conveniently, each group of raw data...
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 methodology for pipeline leak detection using data mining technology and work condition identification is presented here. Sixteen groups of raw...
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