Research status of acoustic wave identification and location methods for gas pipeline leakage
-
摘要: 总结了国内外声波法在输气管道泄漏检测和定位方面的研究进展,介绍了输气管道泄漏声波产生原理、声波法泄漏检测和定位方法的基本原理和传感器技术,指出了各种泄漏检测和定位方法的优点和不足,并在此基础上,对声波法在输气管道泄漏检测和定位的研究趋势进行了展望。Abstract: The article summarizes the research progress of acoustic wave method in gas transmission pipeline leak detection and location at home and abroad, introduces the principle of gas transmission pipeline acoustic wave generation,the basic principle of acoustic wave method leak detection and location method and sensor technology, points out the advantages and shortcomings of various leak detection and location methods, and on this basis, focuses on the research trend of acoustic wave method in gas transmission pipeline leak detection and location.
-
Keywords:
- gas pipeline /
- acoustic method /
- leak detection /
- leak location
-
-
[1] LUKONGE A B, CAO X. Leak detection system for long-distance onshore and offshore gas pipeline using acoustic emission technology[J]. Transactions of the Indian Institute of Metals, 2020, 73(7):1715-1727.
[2] HU Z, TARIQ S, ZAYED T. A comprehensive review of acoustic based leak localization method in pressurized pipelines[J]. Mechanical Systems and Signal Processing, 2021, 161:107994.
[3] 黎晨. 基于声发射信号的管道泄漏检测及定位方法研究[D].西安:西安理工大学, 2021. [4] NDALILA P D, LI Y, LIU C, et al. Modeling Dynamic Pressure of Gas Pipeline With Single and Double Leakage[J]. IEEE Sensors Journal, 2021, 21(9):10804-10810.
[5] MURVAY P-S, SILEA I. A survey on gas leak detection and localization techniques[J]. Journal of Loss Prevention in the Process Industries, 2012,25:966-973.
[6] SHEEN S H, CHIEN H T, RAPTIS A C. Ultrasonic techniques for detecting helium leaks[J]. Sensors and Actuators B:Chemical, 2000, 71(3):197-202.
[7] YUAN F, ZENG Y, LUO R, et al. Numerical and experimental study on the generation and propagation of negative wave in high-pressure gas pipeline leakage[J]. Journal of Loss Prevention in the Process Industries, 2020, 65:104129.
[8] YANG H, YAO X F, WANG S, et al. Simultaneous determination of gas leakage location and leakage rate based on local temperature gradient[J]. Measurement, 2019, 133:233-240.
[9] DUDI AC'G S, IGNJATOVI AC'G I, AŠG E AŠG LIJA D, et al. Leakage quantification of compressed air using ultrasound and infrared thermography[J]. Measurement, 2012, 45:1689-1694.
[10] DIAS L M B, FILIPE E J M, MCCABE C, et al. Liquid mixtures of xenon with fluorinated species:xenon+sulfur hexafluoride[J]. The Journal of Physical Chemistry B, 2007, 111(19):5284-5289.
[11] 王勇, 孙立臣, 窦威, 等. 刚性收集室的密封性对航天器总漏率测试结果的影响[J]. 真空科学与技术学报, 2017, 37(7):665-668. [12] 王洪超, 李强, 罗毅, 等. 基于相似度的管道泄漏负压波定位算法[J]. 油气储运, 2021, 40(6):679-684. [13] 刘翠伟, 李雪洁, 李玉星, 等. 基于音波法的输气管道泄漏检测与定位[J]. 化工学报, 2014, 65(11):4633-4642. [14] 刘翠伟. 输气管道泄漏声波产生及传播特性研究[D].青岛:中国石油大学(华东), 2016. [15] LYU Y, JAMIL M, MA P, et al. An ultrasonic-based detection of air-leakage for the unclosed components of aircraft[J]. Aerospace, 2021, 8(2):55.
[16] HAN H L, WANG T Y, LI J J. The design of intelligent ultrasonic gas leak detection and analysis system[J]. J. Univ. Sci. Technol,2010, 33:114-117.
[17] 刘翠伟, 李玉星, 王武昌, 等. 输气管道声波法泄漏检测技术的理论与实验研究[J]. 声学学报, 2013, 38(3):372-381. [18] DAVOODI S, MOSTAFAPOUR A. Gas leak locating in steel pipe using wavelet transform and cross-correlation method[J]. The International Journal of Advanced Manufacturing Technology, 2014, 70(5):1125-1135.
[19] LANG X, LI P, GUO Y, et al. A multiple leaks' localization method in a pipeline based on change in the sound velocity[J]. IEEE Transactions on Instrumentation and Measurement, 2020, 69(7):5010-5017.
[20] MENG Q, LANG X, LIN M, et al. Leak localization of gas pipeline based on the combination of EEMD and cross-spectrum analysis[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 71:1-9.
[21] HAO Y, DU Z, XING Z, et al. Leakage signal analysis of urban gas pipeline based on improved variational mode decomposition[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2020, 34(13):2058018.
[22] DIAO X, JIANG J, SHEN G, et al. An improved variational mode decomposition method based on particle swarm optimization for leak detection of liquid pipelines[J]. Mechanical Systems and Signal Processing, 2020, 143:106787.
[23] 逯雯雯. 基于改进EMD和SVM的输油管道泄漏信号处理方法研究[D]. 青岛:中国石油大学(华东), 2019. [24] 刘光晓, 孟令雅, 刘翠伟, 等. 基于盲源分离技术的泄漏音波信号滤波方法分析[J]. 振动与冲击, 2014, 33(24):192-199. [25] DANKERS A, JALILIAN E, WESTWICK D. Blind acoustic source separation via system identification for leak detection in pipelines[J]. IFAC-PapersOnLine, 2016, 49(13):229-234.
[26] 陈冲, 张仕民, 彭鹤, 等. 基于支持向量机的钻柱黏滑振动等级评估方法[J]. 石油机械, 2019, 47(1):20-26. [27] YU L, LI S Z. Acoustic emission (AE) based small leak detection of galvanized steel pipe due to loosening of screw thread connection[J]. Applied Acoustics, 2017, 120:85-89.
[28] BANJARA N K, SASMAL S, VOGGU S. Machine learning supported acoustic emission technique for leakage detection in pipelines[J]. International Journal of Pressure Vessels and Piping, 2020, 188:104243.
[29] XIAO R, HU Q, LI J. Leak detection of gas pipelines using acoustic signals based on wavelet transform and support vector machine[J]. Measurement, 2019, 146:479-489.
[30] JIN H, ZHANG L, LIANG W, et al. Integrated leakage detection and localization model for gas pipelines based on the acoustic wave method[J]. Journal of Loss Prevention in the Process Industries, 2014, 27:74-88.
[31] WANG C, ZHANG Y, SONG J, et al. A novel optimized SVM algorithm based on PSO with saturation and mixed time-delays for classification of oil pipeline leak detection[J]. Systems Science & Control Engineering, 2019, 7(1):75-88.
[32] ZHANG H F,LI Z L,JI Z L,et al.Application of acoustic emission and support vector machine to detect the leakage of pipeline valve[C]//2013 Fifth International Conference on Measuring Technology and Mechatronics Automation.Hong Kong,China:IEEE,2013:16-17.
[33] KANG J, PARK Y-J, LEE J, et al. Novel leakage detection by ensemble CNN-SVM and graph-based localization in water distribution systems[J]. IEEE Transactions on Industrial Electronics, 2017, 65(5):4279-4289.
[34] 宁方立, 韩鹏程, 段爽, 等. 基于改进CNN的阀门泄漏超声信号识别方法[J]. 北京邮电大学学报, 2020, 43(3):38-44. [35] WANG C, ZHENG J, LIANG Y. Deeppipe:operating condition recognition of multiproduct pipeline based on KPCA-CNN[J]. Journal of Pipeline Systems Engineering and Practice, 2022, 13(2):0402206.
[36] 孟庆旭, 沈功田, 俞跃,等. 深度残差收缩网络的含噪微泄漏超声识别方法[J]. 应用声学, 2022, 41(6):1-10. [37] 孙洁娣, 王利轩, 温江涛, 等. 改进稠密块轻量化神经网络的管道泄漏孔径识别[J]. 仪器仪表学报, 2022, 43(3):98-108. [38] MA Y, GAO Y, CUI X, et al. Adaptive phase transform method for pipeline leakage detection[J]. Sensors, 2019, 19(2):310.
[39] KOUSIOPOULOS G P, PAPASTAVROU G N, KAMPELOPOULOS D, et al. Comparison of time delay estimation methods used for fast pipeline leak localization in high-noise environment[J]. Technologies, 2020, 8(2):27.
[40] 李帅永, 王鹏飞, 严冬, 等. 气体管道泄漏模态声发射时频定位方法[J]. 仪器仪表学报, 2016, 37(9):2068-2075. [41] MENG L, YUXING L, WUCHANG W, et al. Experimental study on leak detection and location for gas pipeline based on acoustic method[J]. Journal of Loss Prevention in the Process Industries, 2012, 25:90-102.
[42] 张曦, 章兰珠. 声发射衰减特性管道泄漏定位方法[J]. 应用声学, 2022, 41(1):158-167. [43] LIU C, LI Y, YAN Y, et al. A new leak location method based on leakage acoustic waves for oil and gas pipelines[J]. Journal of Loss Prevention in the Process Industries, 2015, 35:236-246.
[44] 刘翠伟, 敬华飞, 方丽萍, 等. 输气管道泄漏声波衰减模型的理论研究[J]. 振动与冲击, 2018, 37(20):109-114. [45] 王瑶, 刘才学, 何攀, 等. 管道声发射信号衰减特性随管道壁厚变化研究[J]. 振动.测试与诊断, 2022, 42(3):588-592.623. [46] 刘翠伟, 李玉星, 孟令雅, 等. 基于希尔伯特黄变换的输气管道泄漏音波时频特性分析[J]. 振动与冲击, 2014, 33(16):42-49. [47] XIANG H C,WANG X D,HUANG G Y.Approach to fault feature extractions of rolling bearing via EEMD and full-vector envelope spectrum[C]//2017 29th Chinese Control and Decision Conference (CCDC).Chongqing,China:IEEE,2017:6492-6497.
[48] 郎宪明. 基于特征提取与信息融合的管道泄漏检测与定位研究[D]. 西安:西北工业大学, 2018. [49] LI F, ZHANG L, DONG S, et al. Noise-Pressure interaction model for gas pipeline leakage detection and location[J]. Measurement, 2021, 184:109906.
[50] HAN X, ZHAO S, CUI X, et al. Localization of CO2 gas leakages through acoustic emission multi-sensor fusion based on wavelet-RBFN modeling[J]. Measurement Science and Technology, 2019, 30(8):085007.
[51] OZEVIN D, YALCINKAYA H. New leak localization approach in pipelines using single-point measurement[J]. Journal of Pipeline Systems Engineering and Practice, 2014, 5(2):04013020.
[52] TAO W, DONGYING W, YU P, et al. Gas leak localization and detection method based on a multi-point ultrasonic sensor array with TDOA algorithm[J]. Measurement Science and Technology, 2015, 26(9):095002.
[53] LIU C, LI Y, FANG L, et al. Experimental study on a de-noising system for gas and oil pipelines based on an acoustic leak detection and location method[J]. International Journal of Pressure Vessels and Piping, 2017, 151:20-34.
计量
- 文章访问数: 3
- HTML全文浏览量: 1
- PDF下载量: 8