Pipeline defect detection and sizing based on MFL data using immune RBF neural networks

2007 IEEE Congress on Evolutionary Computation, CEC 2007

Volumn , Issue , 2007, Pages 3399-3403

  Zhongli, Ma ^a   Hongda, Liu ^a  

^a HARBIN ENGINEERING UNIVERSITY   (China)

Author keywords

Characters recognition; Defect detection; Immune; Magnetic flux leakage inspection; RBFNN

Indexed keywords

CHARACTERS RECOGNITION; MAGNETIC FLUX LEAKAGE INSPECTION;

COMPUTATIONAL GEOMETRY; COMPUTATIONAL METHODS; CORROSION; FINITE ELEMENT METHOD; INSPECTION; PETROLEUM PIPELINES; THREE DIMENSIONAL;

DEFECTS;

EID: 79955166856     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2007.4424911     Document Type: Conference Paper

References (7)

1. Boyun GUO. Offshore Pipelines. Elsevier publishing, 2005: pp. 215-233.
2. Tang Z, Yamaguchi T, Tashima K, et. al. Multiple-valued immune network model and its applications. 27th International Symposium on Multiplevalued Logic(ISMVL 97). CANADA, May 28-30, 1997. pp. 233.
3. Ginzel, R.K. & Kanters, W.A. Pipeline Corrosion and Cracking and the Associated Calibration Considerations for Same Side Sizing Applications. Eclipse Scientific Products Inc., Williamsford, Ontario, Canada. 2002(7).
4. J.B. Nestleroth, T. A. Bubenik. Magnetic Flux Leakage (MFL) Technology For Natural Gas Pipeline Inspection. The Gas Research InstituteHarvey Haines, Project Manager February 1999.
5. Chen T, Chen H. Approximation capability to functions of several variables, nonlinear functional and operators by radial basis function neural network, IEEE Trans on Neural Networks, 1995, 32(6): pp. 904-910.
6. Ada GL, Nossal G. The clonal selection theory. Scientific American, 1987.257(2): pp.50-57.
7. Guoya Dong. RBF Network Based on Artificial Immune Algorithm for Regional Head Conductivity Estimation Proceedings of the 28th IEEE EMBS Annual International Conference New York City, USA, Aug 30-Sept3, 2006.