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...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.展开更多
In recent years,the risk assessment of well control equipment has faced some problems,such as shallow defect detection depth,large identification error of corrosion defect type,inaccurate equipment corrosion assessmen...In recent years,the risk assessment of well control equipment has faced some problems,such as shallow defect detection depth,large identification error of corrosion defect type,inaccurate equipment corrosion assessment,and so on.To solve the above problems,a corrosion defect classification and identification model based on an improved K nearest neighbor algorithm(KNN)is established for the well control pipeline in well control equipment.Firstly,the pulsed magnetic flux leakage(PMFL)sensor is used to detect the pipeline defects,and then the collected data are denoised.Then,the corrosion type identification model of well control pipeline based on K-means++and KNN is established.Finally,the corrosion risk of well control pipeline is evaluated according to the type of corrosion output from the identification model.The experimental results show that the improved algorithm has high accuracy in identifying the corrosion type of well control pipeline,and the calculation speed is better than other algorithms described in this paper.展开更多
基金Sichuan province Science and Technology department( No. 2011GZ0002 and No. 2013HH0059)the university basic scientific research project( No. ZYGX2013J090 ) for funding the work
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.
文摘In recent years,the risk assessment of well control equipment has faced some problems,such as shallow defect detection depth,large identification error of corrosion defect type,inaccurate equipment corrosion assessment,and so on.To solve the above problems,a corrosion defect classification and identification model based on an improved K nearest neighbor algorithm(KNN)is established for the well control pipeline in well control equipment.Firstly,the pulsed magnetic flux leakage(PMFL)sensor is used to detect the pipeline defects,and then the collected data are denoised.Then,the corrosion type identification model of well control pipeline based on K-means++and KNN is established.Finally,the corrosion risk of well control pipeline is evaluated according to the type of corrosion output from the identification model.The experimental results show that the improved algorithm has high accuracy in identifying the corrosion type of well control pipeline,and the calculation speed is better than other algorithms described in this paper.
