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《Equipment Manufacturing Technology》 2009-08
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Wavelet Transform in Ultrasonic Testing of Pipeline Application

LIN Hong ( Guangxi Quality of Technical Engineering Schools,Nanning 530022,China)  
The detection of pipeline defects, chemical, oil refining and power plant equipment to monitor the operational status of important projects. Used has an excellent ability to time-frequency localization of wavelet transform techniques, pipeline inspection for defects of signal enhancement, noise reduction can be a better effect to remove noise from the signal, you can easily identify the existence of defects and deficiencies to determine position.
【CateGory Index】: TP274.53
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【References】
Chinese Journal Full-text Database 2 Hits
1 TANG Jian;JIAO Xiang-dong;DAI Bo;College of Mechanical and Electrical Engineering,Beijing University of Chemical Technology;Beijing Institute of Petrochemical Technology;;Application of Improved Secondary 1.5-D Spectrum Estimation in Pipeline Inner Inspection[J];上海交通大学学报;2015-03
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【Citations】
Chinese Journal Full-text Database 3 Hits
1 CHENG Liang-yan1,WANG Zhi-hua2,3,ZHANG Wei-wei1,MA Hong-wei1(1.College of Science & Engineering,The Key Laboratory of Disaster Forecast and Control in Engineering,Ministry of Education of China,Jinan University,Guangzhou 510632,China;2.State Key Laboratory of Explosion Science and Technology,Beijing Institute of Technology,100081,China;3.Institute of Applied Mechanics,Taiyuan University of Technology,Taiyuan 030024,China);Damage identification of pipe based on two-stage wavelet transform method[J];暨南大学学报(自然科学版);2008-01
2 Zeng Qinghu,Qiu Jing,Liu Guanjun,Zhang Yong(College of Mechatronic Engineering and Automation,National University of Defense Technology,Changsha 410073);On Incipient Fault Diagnosis of Rolling Bearings with Wavelet Correlation Filter[J];机械科学与技术;2008-01
3 Gao Zhen Ma Jinshan Xiong Xiaoyan;Wavelet Analysis of Gears Fault Diagnosis[J];机械管理开发;2005-02
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 Qiu Aizhong;Zhang Haiquan;Cui Xiao;Qiu Dawei;Zhengzhou Normal University;University of Science and Technology of China;;Design Method of DT-CWT and its Application in Mechanical Fault Diagnosis[J];机械科学与技术;2017-04
2 HUANG Gangjing;FAN Yugang;FENG Zao;LIU Yingjie;Faculty of Information Engineering & Automation,Kunming University of Science and Technology;Engineering Research Center for Mineral Pipeline Transportation of Yunnan Province;;Research on fault diagnosis method based on generalized morphological filter and MRSVD[J];计算机工程与应用;2018-03
3 YANG Jie;CHEN Jie;HONG Rongjing;WANG Hua;FENG Yang;College of Mechanical and Power Engineering, Nanjing Tech University;;Research of slew bearing signal de-noising based on multi-scale principal component analysis and EEMD[J];中南大学学报(自然科学版);2016-04
4 LIU Jinhui;REN Xiaohong;School of Automation and Electronic Information,Sichuan University of Science & Engineering;;Fault Diagnosis of CNC Machine Tool Spindle System of LM Algorithm of BP Neural Network[J];机床与液压;2015-21
5 ZHANG Bin;WANG Xi-yang;School of Aeronautical Manufacturing Engineering,Nanchang Hangkong University;;Application of Spectral Kurtosis Method based on Wavelet Packet and EMD to Fault Diagnosis of Ball Bearing[J];失效分析与预防;2015-05
6 LENG Junfa;GUO Songtao;JING Shuangxi;LI Xinhua;School of Mechanical and Power Engineering,Henan Polytechnic University;;Rolling element bearing fault diagnosis of belt conveyor driving drum based on minimum entropy deconvolution[J];河南理工大学学报(自然科学版);2015-04
7 Zheng Wei;No.710 R&D Institute,CSIC;;Minimum Entropy Deconvolution Applied in Fault Feature Extraction of Rolling Bearing for Underwater Vehicle[J];水雷战与舰船防护;2015-02
8 XU Cun-dong,ZUO Luo,ZHANG Shuo,SHI Guo-kun(Institute of Water Conservancy,North China University of Water Resources and Electric Power,Zhengzhou 450011,China);Vibration testing and analysis based on DASP of pump station pressure pipe line[J];兰州理工大学学报;2013-02
9 WANG Hongchao CHEN Jin DONG Guangming(The State Key Laboratory of Mechanical System and Vibration,Shanghai Jiao Tong University,Shanghai 200240);Fault Diagnosis Method for Rolling Bearing’s Weak Fault Based on Minimum Entropy Deconvolution and Sparse Decomposition[J];机械工程学报;2013-01
10 DING JianMing LIN JianHui REN Yu YANG Qiang (State Key Laboratory of Traction Power,Southwest Jiaotong University,Chengdu 610031,China);REAL-TIME DIAGNOSIS OF BEARING FAULTS BASED ON HARMONIC WAVELET ENERGY ENTROPY[J];机械强度;2011-04
【Co-references】
Chinese Journal Full-text Database 4 Hits
1 DAI Bo1,XU Yun2,TIAN Xiao-ping1,SHENG Sha1,MA Jie2(1.Beijing Institute of Petro-chemical Technology,Beijing 102617,China;2.Beijing University of Chemical Technology,Beijing 100029,China);Signal Processing of Pipeline Ultrasonic Inner Detection Based on SVM Multi-classifier[J];杭州电子科技大学学报;2010-04
2 LIN Hong ( Guangxi Quality of Technical Engineering Schools,Nanning 530022,China);Wavelet Transform in Ultrasonic Testing of Pipeline Application[J];装备制造技术;2009-08
3 Dai Bo,Sheng Sha,Tang Jian,Zhang Huiping (Department of Automation,Beijing Institute of Petro-Chemical Technology,Beijing,102617,China);Ultrasonic Inspection of Pipeline Corrosion Based on Burg Maximum Entropy Method[J];数据采集与处理;2008-01
4 Tang Jian1 Dai Bo2 (1 Beijing University of Chemical Technology, Beijing 100029; 2 Beijing Institute of Petro-chemical Technology, Beijing 102617);Research on Ultrasonic Measurement of Pipeline Thickness Based on Power Spectral Estimation[J];北京石油化工学院学报;2005-01
【Secondary References】
Chinese Journal Full-text Database 7 Hits
1 XING Zhan;TAN Xing;WANG Shao-chun;GAN Fang-ji;LIAO Jun-bi;School of Manufacturing Science and Engineering;;A Novel Thickness Measurement Method of Ultrasonic of Pipeline Based on Self-calibration Block[J];全面腐蚀控制;2018-03
2 LUO Jian;GAN Fangji;ZHANG Yiming;LIAO Junbi;WANG Shaochun;School of Manufacturing Science and Engineering,Sichuan University;Safety,Environment &Technology Supervision Research Institute,Southwest Oil & Gas Company,PetroChina Co.,Ltd.;;Ultrasonic Thickness On-line Monitoring Technique with Self-Calibration of Pipeline[J];无损检测;2017-11
3 ZHANG Xi-yu;LI Yong;JING Hao-qing;YAN Bei;Research Centre for Inspection and Evaluation of Nuclear Structural Integrity,State Key Laboratory for Strength and Vibration of Mechanical Structures,School of Aerospace,Xi'an Jiaotong University;Xi'an Military Representative Bureau;;Optimization of excitation parameters for PRFEC inspection on FDP[J];传感器与微系统;2017-08
4 WU Jin-feng;SUN Jia-wei;WANG Chun-xiao;L Tian-ming;MA Chao;NING Fang-mao;CGN Inspection Technology Co.,Ltd.;Taishan Nuclear Power Joint Venture Co.,Ltd.;;Ultrasonic Inspection of Rod Cluster Control Assembly of Nuclear Power Plant Based on FFT[J];无损检测;2017-03
5 JIAO Xiangdong;TANG Jian;DAI Bo;DING Xuepeng;Institution Engineering Research Center of Energy Engineering Advanced Joining Technology,Beijing Institute of Petrochemical Technology;College of Information Engineering,Beijing Institute of Petrochemical Technology;Beijing Huaju Architectural Design Co.Ltd.;;Pipeline Ultrasonic Testing Signal Processing Based on Hilbert-Huang Transform[J];上海交通大学学报;2016-10
6 JIN Yong;WU Qi-zhou;CHEN You-xin;LIU Kai;National Key Laboratory for Electronic Measurement Technology,North University of China;;Non-contact Ultrasonic Measuring Method for Thickness of Missile Body Based on Dynamic Template Matching[J];火力与指挥控制;2015-06
7 DAI Bo;SUN Yajing;TANG Jian;College of Information Engineering,Beijing Institute of Petrochemical Technology;College of Information Science &Technology,Beijing University of Chemical Technology;;C-scan of pipeline corrosion defect with ultrasonic guided-waves based on wavelet transform[J];化工学报;2013-12
【Secondary Citations】
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3 Sun Zengshou~(1,2), Han Jiangang~(1),Ren Weixin~(1)(1.Department of Civil Building Engineering, Fuzhou University,Fuzhou 350002, China; 2.Department of Civil Engineering,Zhengzhou University, Zhengzhou 450002, China);Damage location identification of structures based on curvature mode and wavelet transform[J];地震工程与工程振动;2005-04
4 XU Dong_tao,PING Peng(School of Mechanical Engineering and Automation,Anshan University of Science and Technology,Anshan 114044,China);Application Study of Wavelet Analysis in the Fault Diagnosis of Gears[J];鞍山钢铁学院学报;2002-06
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