应用模糊熵和相似度的管道泄漏检测与定位
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摘要
动态压力波信号的异常识别是声波法输油管道泄漏检测和泄漏定位的关键。从时间序列角度出发,提出一种基于模糊集理论的输油管道泄漏检测定位方法。该方法首先采用小波分解和半硬软阈值法去除动态压力波信号噪声;其次选取固定长度的正常动态压力波信号子序列作为模板序列,并对现场采集所得动态压力波信号选取相同长度的子序列作为被匹配序列,构造两子序列信号所对应功率谱的模糊集并计算其相似度;最后根据模糊相似度判定输油管道是否存在泄漏现象,若发生泄漏,可利用检测信号和模板信号的模糊熵差确定泄漏位置。实验表明,建议方法简单、有效且定位精度高。
The recognition of abnormal dynamic pressure wave signal is key to pipeline leakage detection and location with acoustic wave. Starting from time sequence,we propose a petroleum pipeline leakage detection and location method based on the fuzzy set theory. Firstly,an adaptive filter is designed to remove the noise of a dynamic pressure wave signal with wavelet decomposition and semi-hard and soft threshold. Secondly,the fixedlength normal dynamic pressure wave signal sequences are selected as template sequences,and the dynamic pressure wave signals with the same-length sub-sequence collected on site are selected as matching sequences; then the fuzzy sets of two sub-sequence signals' power spectra are constructed to calculate their fuzzy similarity degrees.Finally,we use the fuzzy similarity degrees to judge if petroleum pipeline leakage occurs; if yes,we locate the leakage by using the fuzzy entropy difference between normal and collected dynamic pressure wave signal sequences of the petroleum pipeline. The experimental results show that our method is simple,effective and has high location accuracy.
The recognition of abnormal dynamic pressure wave signal is key to pipeline leakage detection and location with acoustic wave. Starting from time sequence,we propose a petroleum pipeline leakage detection and location method based on the fuzzy set theory. Firstly,an adaptive filter is designed to remove the noise of a dynamic pressure wave signal with wavelet decomposition and semi-hard and soft threshold. Secondly,the fixedlength normal dynamic pressure wave signal sequences are selected as template sequences,and the dynamic pressure wave signals with the same-length sub-sequence collected on site are selected as matching sequences; then the fuzzy sets of two sub-sequence signals' power spectra are constructed to calculate their fuzzy similarity degrees.Finally,we use the fuzzy similarity degrees to judge if petroleum pipeline leakage occurs; if yes,we locate the leakage by using the fuzzy entropy difference between normal and collected dynamic pressure wave signal sequences of the petroleum pipeline. The experimental results show that our method is simple,effective and has high location accuracy.
引文
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[13]Chen Z G.Using fuzzy theory and information entropy to detect leakage for pipelines[C]//Proceedings of the10th World Congress on Intelligent Control and Automation.Beijing:IEEE,2012:3232-3235
[14]Yang Y,Wu Y F,Yu N,et al.Fuzzy comprehensive approach based on AHP and entropy combination weight for pipeline leak detection system performance evaluation[C]//Proceedings of IEEE International Systems Conference.Vancouver,BC:IEEE,2012:1-6
[15]Wang Z Q,Zhang M J.The research of DNS anomaly detection based on the method of similarity and entropy[C]//Proceedings of International Conference on Intelligent Computation Technology and Automation.Changsha:IEEE,2010,3:905-909
[16]连龙杰,林伟国,吴海燕.基于功率谱比对的液氯输送管道泄漏检测方法[J].化工学报,2013,64(12):4461-4467Lian L J,Lin W G,Wu H Y.Liquid-chlorine leak detection method based on power spectrum comparison[J].CIESC Journal,2013,64(12):4461-4467(in Chinese)
[17]Lay-Ekuakille A,Vergallo P.Decimated signal diagonalization method for improved spectral leak detection in pipelines[J].IEEE Sensors Journal,2 0 1 4,1 4(6):1 7 4 1-17 4 8
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[19]Al-Sharhan S,Karray F,Gueaieb W,et al.Fuzzy entropy:a brief survey[C]//Proceedings of the 10th IEEE International Conference on Fuzzy Systems.Melbourne,Vic.:IEEE,2001,3:1135-1139
[2]王桂增,董东,方崇智.基于Kullback信息测度的长输管线的泄漏检测[J].信息与控制,1989,18(1):14-18Wang G Z,Dong D,Fang C Z.Fault detection for transport pipelines based on Kullback information[J].Information and Control,1989,18(1):14-18(in Chinese)
[3]Mukherjee J,Narasimhan S.Leak detection in networks of pipelines by the generalized likelihood ratio method[J].Industry&Engineering Chemistry Researches,1996,35(6):1886-1893
[4]Oven S.Leak Detection in pipelines by the use of state and parameter estimation[D].Disambiguation:Norwegian University of Science and Technology,2014
[5]Li H,Xiao D Y,Zhao X.A field-pipeline leakage detection method based on negative pressure wave and improved fast differential algorithm[C]//Proceedings of the 2nd International Conference on Information and Computing Science.Manchester:IEEE,2009,1:127-130
[6]Liang W,Zhang L B.A wave change analysis(WCA)method for pipeline leak detection using Gaussian mixture model[J].Journal of Loss Prevention in the Process Industries,2012,25(1):60-69
[7]陈华立,叶昊.基于图像处理的管道泄漏检测与定位[J].清华大学学报,2005,45(1):199-122Chen H L,Ye H.Oil pipeline leak detection and location based on image processing[J].Journal of Tsinghua University(Science&Technology),2005,45(1):199-122(in Chinese)
[8]刘炜,刘宏昭.检测与定位管道泄漏的图像处理方法研究[J].控制工程,2014,21(2):294-297Liu W,Liu H Z.Application of image processing technology on detection and location of pipeline leak[J].Control Engineering of China,2014,21(2):294-297(in Chinese)
[9]葛传虎,王桂增,叶昊,等.基于广义相关分析的泄漏定位[J].信息与控制,2009,38(2):194-198,205Ge C H,Wang G Z,Ye H,et al.Leak location based on generalized correlation analysis[J].Information and Control,2009,38(2):194-198,205(in Chinese)
[10]杨进,文玉梅,李平.基于相关分析和近似熵的管道泄漏声信号特征提取及辨识方法[J].仪器仪表学报,2009,30(2):272-279Yang J,Wen Y M,Li P.Feature extraction and identification of leak acoustic signal in water distribution pipelines using correlation analysis and approximate entropy[J].Chinese Journal of Scientific Instrument,2009,30(2):272-279(in Chinese)
[11]Silva De H V,Morooka C K,Guilherme I R,et al.Leak detection in petroleum pipelines using a fuzzy system[J].Journal of Petroleum Science and Engineering,2005,49(3-4):223-238
[12]刘金海,冯健.基于模糊分类的流体管道泄漏故障智能检测方法研究[J].仪器仪表学报,2011,32(1):26-32Liu J H,Feng J.Research on leak fault intelligent detection method for fluid pipeline based on fuzzy classification[J].Chinese Journal of Scientific Instrument,2011,32(1):26-32(in Chinese)
[13]Chen Z G.Using fuzzy theory and information entropy to detect leakage for pipelines[C]//Proceedings of the10th World Congress on Intelligent Control and Automation.Beijing:IEEE,2012:3232-3235
[14]Yang Y,Wu Y F,Yu N,et al.Fuzzy comprehensive approach based on AHP and entropy combination weight for pipeline leak detection system performance evaluation[C]//Proceedings of IEEE International Systems Conference.Vancouver,BC:IEEE,2012:1-6
[15]Wang Z Q,Zhang M J.The research of DNS anomaly detection based on the method of similarity and entropy[C]//Proceedings of International Conference on Intelligent Computation Technology and Automation.Changsha:IEEE,2010,3:905-909
[16]连龙杰,林伟国,吴海燕.基于功率谱比对的液氯输送管道泄漏检测方法[J].化工学报,2013,64(12):4461-4467Lian L J,Lin W G,Wu H Y.Liquid-chlorine leak detection method based on power spectrum comparison[J].CIESC Journal,2013,64(12):4461-4467(in Chinese)
[17]Lay-Ekuakille A,Vergallo P.Decimated signal diagonalization method for improved spectral leak detection in pipelines[J].IEEE Sensors Journal,2 0 1 4,1 4(6):1 7 4 1-17 4 8
[18]戴朝华,朱云芳,陈维荣.一种新的小波消噪阈值选取方法[J].组合机床与自动化加工技术,2005,(6):33-35Dai C H,Zhu Y F,Chen W R.A novel thresholding algorithm of wavelet de-noising[J].Modular Machine Tool&Automatic Manufacturing Technique,2005,(6):33-35(in Chinese)
[19]Al-Sharhan S,Karray F,Gueaieb W,et al.Fuzzy entropy:a brief survey[C]//Proceedings of the 10th IEEE International Conference on Fuzzy Systems.Melbourne,Vic.:IEEE,2001,3:1135-1139