Application of Improved Secondary 1.5-D Spectrum Estimation in Pipeline Inner Inspection

Abstract

Abstract:

Abstract： Aimed at the problem that the manual wall thickness acquisition algorithm has the disadvantages of large labor intensity, low efficiency, and so on, and the fact that the existing automatic wall thickness acquisition algorithm is not accurate and adaptable, the automatic wall thickness acquisition algorithm based on the improved secondary 1.5-D spectrum estimation was proposed. The pipeline ultrasonic A-wave signals were estimated by 1.5-D spectrum that were intercepted and filled zero by the upper and lower limit of the wall thickness. Then, the 1.5-D spectrum estimation was done again, and the wall thickness information was obtained. Experimental results show that the wall thickness data generated by this algorithm is more accurate and the relative error is within 3%.

Key words: pipeline, inner inspection, secondary 1.5-D spectrum estimation, automatic wall thickness acquisition

CLC Number:

TE 973.6

TANG Jian1,2,JIAO Xiangdong2,DAI Bo2. Application of Improved Secondary 1.5-D Spectrum Estimation in Pipeline Inner Inspection[J]. Journal of Shanghai Jiaotong University, 2015, 49(03): 406-410.

References

［1］李晨光. 管道焊缝无损检测的综合方法结合及图像处理［D］. 北京: 中国石油大学, 2011.

［2］王忠巍. 自主海底管道机器人智能控制关键技术研究［D］. 上海: 上海交通大学, 2010.

［3］戴波, 盛沙, 唐建, 等. 基于Burg最大熵法的管道腐蚀超声检测［J］. 数据采集与处理, 2008, 23(1)：112116.

DAI Bo, SHENG Sha, TANG Jian, et al. Ultrasonic inspection of pipeline corrosion based on Burg maximum entropy method ［J］. Journal of Data Acquisition & Processing, 2008, 23(1)：112116.

［4］Inoue H, Kishimoto K, Shibuya T. Experimental wavelet analysis of flexural waves in beams ［J］. Experimental Mechanics, 1996, 36(3)：212217.

［5］林红. 小波变换在管道缺陷超声检测中的应用［J］. 装备制造技术，2009(8)：130133.

LIN Hong. Wavelet transform in ultrasonic testing of pipeline application ［J］. Equipment Manufacturing Technology, 2009(8)：130133.

［6］Bettayeb F, Rachedi T, Benbartaoui H. An improved automated ultrasonic NDE system by wavelet and neuron networks ［J］. Ultrasonics, 2004,42(19)：853858.

［7］Acciani G, Brunetti G, Fornarelli G. Angular and axial evaluation of superficial defects on nonaccessible pipes by wavelet transform and neural networkbased classification ［J］. Ultrasonics, 2010, 50(1)：1325.

［8］戴波，徐云，田小平，等. 基于SVM 多分类器的管道内检测信号处理研究［J］. 杭州电子科技大学学报, 2010, 30(4)：6571.

DAI Bo, XU Yun, TIAN Xiaoping, et al. Signal processing of pipeline ultrasonic inner detection based on SVM multiclassifier ［J］. Journal of Hangzhou Dianzi University, 2010, 30(4)：6571.

［9］Christopher J C. Burges. A tutorial on support vector machines for pattern recognition ［J］. Data Mining and Knowledge Discovery, 1998, 2(2)：121167.

［10］陈仲生. 基于Matlab7.0的统计信息处理［M］. 长沙: 湖南科学技术出版社, 2005：185227.

[1]	TANG Yuhang, YU Kun, ZENG Xiangjun, NI Yanru, CHENG Xinxiang, HAN Wei. Calculation Method for Underground Metal Corrosion Due to Stray Current Based on Ground Potential Distribution [J]. Journal of Shanghai Jiao Tong University, 2025, 59(3): 424-434.
[2]	CAO Juhang, ZHANG Jie, ZHANG Jie, DENG Chiyu, GAO Lei, LI Jian, CHEN Juan, LONG Xiaopin, YU Yuanfang, JIANG Bingbing. Simulation Test of Multi-Diameter Pig Based on a Subsea Pipeline in a Gas Field in the South China Sea [J]. Ocean Engineering Equipment and Technology, 2025, 12(1): 28-36.
[3]	LIN Yan, JIN Tingyu, YANG Yuchao. PG-MACO Optimization Method for Ship Pipeline Layout [J]. Journal of Shanghai Jiao Tong University, 2024, 58(7): 1027-1035.
[4]	ZHANG Xiaodong. Technical Measures for Energy Conservation and Consumption Reduction of Natural Gas Long Distance Pipeline [J]. Ocean Engineering Equipment and Technology, 2024, 11(2): 56-58.
[5]	ZENG Yunfei, DENG Guanhua, YU Chenglong, ZHU Zejin, ZHANG Guodong. Research on Permanent Repair Plan for Submarine Gas Pipeline in the South China Sea [J]. Ocean Engineering Equipment and Technology, 2024, 11(2): 106-109.
[6]	SHANG Xianling, LI Chunlei, WANG Leqin, FAN Zeren, HAN Yunrui, YU Long. Numerical Analysis of J-Lay on a Nonlinear Seabed [J]. Ocean Engineering Equipment and Technology, 2024, 11(1): 99-105.
[7]	LIU Jun, , , , ZHANG Chuanxu, , , QU Jie, , . Application of Underwater Reinforcement Repair Technique with Wrap Composite Materials of External Corrosion for Submarine Pipeline [J]. Ocean Engineering Equipment and Technology, 2023, 10(4): 24-29.
[8]	Xu Youliang, Qi Lin, Meng Hua, Li Zhijie . Analysis on anticorrosion structure of narrow and long inner hole tube body [J]. Ocean Engineering Equipment and Technology, 2023, 10(3): 72-75.
[9]	WANG Meng, LIANG Guangqiang. Strength Design Criterion on Hydrogen Offshore Pipeline [J]. Ocean Engineering Equipment and Technology, 2023, 10(3): 41-47.
[10]	Huang Jun, LI Shaojie, KANG Zhuang. Analysis of J-Lay Laying of Large Diameter Submarine Pipeline [J]. Ocean Engineering Equipment and Technology, 2023, 10(2): 145-151.
[11]	CHEN Shoufang, LI Jian, XIONG Lifang, YUAN Junshe. Thinking on Reliability of Pipeline Connection and Seal of Reusable Engine [J]. Air & Space Defense, 2023, 6(1): 6-10.
[12]	LI Yansong, DING Dingqian, HAN Dong, LIU Jing, LIANG Yongtu. Numerical Simulation of Critical Oil Velocity Required to Completely Remove Water Lump Deposited in Hilly Oil Pipelines [J]. Journal of Shanghai Jiao Tong University, 2021, 55(7): 878-890.
[13]	XU Changjie, ZENG Yiting, TIAN Wei, CHEN Ming. Analytical Analysis of Influence of Dewatering on Adjacent Pipelines Based on Pasternak Foundation [J]. Journal of Shanghai Jiao Tong University, 2021, 55(6): 652-662.
[14]	ZHANG Qi, ZHOU Xianglian, YE Guanlin. Wave-Induced Seabed Response and Liquefaction Around Pipeline at Different Buried Depths [J]. Journal of Shanghai Jiao Tong University, 2021, 55(5): 489-496.
[15]	PAN Jiahe,LIAO Chencong,CHEN Jinjian. Solitary Wave-Induced Response of Sloping Seabed with a Buried Pipeline [J]. Journal of Shanghai Jiaotong University, 2019, 53(8): 898-906.