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| 1 | Pulsed Eddy Current Non-destructive Testing and Evaluation:A Review显示文摘Pulsed eddy current(PEC) non-destructive testing and evaluation(NDT&E) has been around for some time and it is still attracting extensive attention from researchers around the globe, which can be witnessed through the reports reviewed in this paper. Thanks to its richness of spectral components, various applications of this technique have been proposed and reported in the literature covering both structural integrity inspection and material characterization in various industrial sectors. To support its development and for better understanding of the phenomena around the transient induced eddy currents,attempts for its modelling both analytically and numerically have been made by researchers around the world.This review is an attempt to capture the state-of-the-art development and applications of PEC, especially in the last15 years and it is not intended to be exhaustive. Future challenges and opportunities for PEC NDT&E are also presented. | Ali Sophian Guiyun Tian Mengbao Fan | 2017 | Chinese Journal of Mechanical Engineering2017，30，3： | 27 |
| 2 | Pulsed electromagnetic non-destructive evaluation and applications显示文摘This paper introduces recent research work in the field of pulsed electromagnetic non-destructive testing/evaluation.These are pulsed eddy current,pulsed magnetic flux leakage and eddy current pulsed thermography.This paper introduces pulsed electromagnetic techniques and their different case studies on defect detection as well as stress characterisation.Experimental tests have been validated and future research plans are discussed.This paper demonstrates pulsed electromagnetic non-destructive testing and evaluation for not only depth information,but also for multiple parameter measurement and multiple integration,which are important for future development. | TIAN Guiyun ZHOU Xiuyun Ibukun D.Adewale | 2014 | Instrumentation2014，1，1： | 8 |
| 3 | A static and dynamic factorscoupled forecasting model of regional rainfall-induced landslides:A case study of Shenzhen显示文摘Most rainfall-induced landslide forecasting models focus on the relation between landslides and rainfall,which is one of the dynamic factors,and seldom consider the stacitc factors,such as geological and geograpical factors.Landslide susceptibility,however,is determinded by both static and dynamic factors.This article proposes a static and dynamic factors-coupled forecasting model(SDFCFM) of regional rainfall-induced landslides,which quantitatively considers both the static and dynamic factors that affect landslides.The generalized additive model(GAM) is applied to coupling both factors to get the landslide susceptibility.In the case study,SDFCFM is applied to forecast the landslide occurrences in Shenzhen during a rainfall process in 2008.Compared with the rainfall logistic regression model,the resulting landslide susceptibility map illustrates that SDFCFM can reduce the forecast redundancy and improve the hit ratio.It is both applicable and practical.The application of SDFCFM in landslide warning and prevention system will improve its efficiency and also cut down the cost of human and matreial resources. | JIA GuiYun,TIAN Yuan,LIU Yu & ZHANG Yi Institute of Remote Sensing and GIS,Peking University,Beijing 100871,China | 2008 | Science China(Technological Sciences)2008，51，S2： | 5 |
| 4 | Current Trends and Perspectives of Detection and Location for Buried Non-Metallic Pipelines显示文摘Buried pipelines are an essential component of the urban infrastructure of modern cities.Traditional buried pipes are mainly made of metal materials.With the development of material science and technology in recent years,non-metallic pipes,such as plastic pipes,ceramic pipes,and concrete pipes,are increasingly taking the place of pipes made from metal in various pipeline networks such as water supply,drainage,heat,industry,oil,and gas.The location technologies for the location of the buried metal pipeline have become mature,but detection and location technologies for the non-metallic pipelines are still developing.In this paper,current trends and future perspectives of detection and location of buried non-metallic pipelines are summarized.Initially,this paper reviews and analyzes electromagnetic induction technologies,electromagnetic wave technologies,and other physics-based technologies.It then focuses on acoustic detection and location technologies,and finally introduces emerging technologies.Then the technical characteristics of each detection and location method have been compared,with their strengths and weaknesses identified.The current trends and future perspectives of each buried non-metallic pipeline detection and location technology have also been defined.Finally,some suggestions for the future development of buried non-metallic pipeline detection and location technologies are provided. | Liang Ge Changpeng Zhang Guiyun Tian Xiaoting Xiao Junaid Ahmed Guohui Wei Ze Hu Ju Xiang Mark Robinson | 2021 | Chinese Journal of Mechanical Engineering2021，34，5： | 2 |
| 5 | PEC thermography for imaging multiple cracks from rolling contact fatigue显示文摘 | John Wilson Guiyun Tian Ilham Mukriz Darryl Almond | 2011 | NDT and E International2011，，6： | 2 |
| 6 | Stress measurement using magnetic barkhausen noise and metal magnetic memory testing显示文摘 | Ping WANG Shougao ZHU Guiyun TIAN | 2010 | MeasurementScience & Technology2010，21，05： | 1 |
| 7 | Surface Crack Detection for Carbon Fi- ber Reinforced Plastic ( CFRP ) Materials Using Pulsed Eddy Current Thermography 显示文摘 | Cheng Liang Tian Guiyun | 2011 | IEEE Sensors Journal2011，11，22： | 1 |
| 8 | A feature extraction technique based on principle component analysis for pulsed eddy current NDT 显示文摘 | Sophian A Tian Guiyun Taylor D | 2003 | NDT & E International2003，，1： | 1 |
| 9 | Internet - based manufacturing: A review and a new infrastructure for distributed intel- ligent manufacturing 显示文摘 | GUIYUN TIAN GUOFU YIN DAVID TAYLOR | 2002 | Journal of Intelligent Manufacturing2002，13，： | 1 |
| 10 | Defect classification using a new feature for pulsed eddy current sensors显示文摘 | Guiyun Tian Ali Sophian | 2005 | NDT & E International2005，38，1： | 1 |
| 11 | A machine vision system for on-line removal of contaminants in wool显示文摘 | Su Zhenwei Tian Guiyun Gao Chunhua | 2006 | Mechatronics2006，16，3： | 1 |
| 12 | Comprehensive Interest Points Based Imaging Mosaic 显示文摘 | Tian Guiyun Gledhill D Taylor D | 2003 | Pattern Recognition Letters2003，24，910： | 1 |
| 13 | Stress measurement using magnetic barkhausen noise and metal magnetic memory testing显示文摘 | WANG Ping ZHU Shougao TIAN Guiyun | 2010 | MeasurementScience & Technology2010，21，05： | 1 |
| 14 | Research on Spectral Response of Pulsed Eddy Current and NDE Applications 显示文摘 | Tian Guiyun He Yunze Adewalea I | 2013 | Sen- sors and Actuators A--Physical2013，189，1： | 1 |
| 15 | A machine visionsystem for on-line removal of contaminants in wool显示文摘 | Su Zhenwei Tian Guiyun Gao Chunhua | 2006 | Mechatronics2006，16，5： | 1 |
| 16 | Comprehensive Interest Points Based Imaging Mosaic 显示文摘 | Tian Guiyun Gledhill D Taylor D | 2003 | Pattern Recognition Letters2003，24，910： | 1 |
| 17 | Stress measurement using magnetic barkhausen noise and metal magnetic memory testing 显示文摘 | WANG Ping ZHU Shougao TIAN Guiyun | 2010 | Measurement Science and Technology2010，21，5： | 1 |
| 18 | A web-based remote cooperative design for spatial cam mechanisms显示文摘 | YIN Guofu TIAN Guiyun TAYLOR D | 2002 | International Journal of Advanced Manufacturing Technology2002，20，8： | 1 |
| 19 | Simulation of edge cracks using pulsed eddy current stimulated thermography 显示文摘 | YANG Suixian TIAN Guiyun ABIDIN I Z | 2011 | Journal of Dynamic Systems Measurement and Control2011，133，： | 1 |
| 20 | Study on flaw identification of ultrasonic signal for large shafts based on optimal support vector machine显示文摘Automatic identification of flaws is very important for ultrasonic nondestructive testing and evaluation of large shaft.A novel automatic defect identification system is presented.Wavelet packet analysis(WPA)was applied to feature extraction of ultrasonic signal,and optimal Support vector machine(SVM)was used to perform the identification task.Meanwhile,comparative study on convergent velocity and classified effect was done among SVM and several improved BP network models.To validate the method,some experiments were performed and the results show that the proposed system has very high identification performance for large shafts and the optimal SVM processes better classification performance and spreading potential than BP manual neural network under small study sample condition. | Zhao Xiufen Yin Guofu Tian Guiyun Yin Ying | 2008 | 仪器仪表学报2008，29，5： | 1 |
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