蒲明,马建国.2010年中国油气管道新进展[J].国际石油经济,2011(3):26-34.PU Ming,MA Jian-guo.Progress of China’s oil and gas pipeline development in 2010[J].International Petroleum Economics,2011(3):26-34.(in Chinese)
[2]
严陆光,卢强,宋振骐,等.大力加强中国海洋石油勘探开发安全与陆上油气储运安全工作的建议[J].电工电能新技术,2012,31(2):1-10.YAN Lu-guang,LU Qiang,SONG Zhen-qi,et al.A proposal on vigorously strengthening security on offshore oil exploitation and on petroleum and natural gas storage and transportation on lands[J].Advanced Technology of Electrical Engineering and Energy,2012,31(2):1-10.(in Chinese)
[3]
KHODAYARI-ROSTAMABAD A,REILLY J P,NIKOLOVA N K,et al.Machine learning techniques for the analysis of magnetic flux leakage images in pipeline inspection[J].IEEE Transaction on Magnetics,2009,45(8):3073-3084.
[4]
MUKHOPADHYAY S,SRIVASTAVA G P.Characterization of metal loss defects from magnetic flux leakage signals with discrete wavelet transform[J].NDT&E International Journal,2000,33(1):57-65.
[5]
CARVALHOA A A,REBELLOA J M A,SAGRILOB L V S,et al.MFL signals and artificial neural networks applied to detection and classification of pipe weld defects[J].International Journal,2006,39(8):661-667.
[6]
LEE J Y,MUHAMMAD A,UDPA S,et al.Hierarchical rule based classification of MFL signals obtained from natural gas pipeline inspection[J].IEEE International Joint Conference on Neural Network,2000(5):71-76.
[7]
JOSHI A,UDPA L,UDPA S,et al.Adaptive wavelets for characterizing MFL signals from pipeline inspection[J].IEEE Transactions on Magnetics,2006,42(10):3168-3170.
[8]
JI F Z,WANG C L,ZUO X Z,et al.LS-SVM-based reconstruction of 3D defect profile from magnetic flux leakage signals[J].Insight,2007,49(9):516-520.
[9]
JI Feng-zhu,SUN Shi-yu,WANG Chang-long,et al.Applications of adaptive fuzzy lifting wavelet transform in MFL[J].Signal Processing,2010,52(1):16-19.
