Study on quantitative recognition technology of pipeline defect

Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology

Volumn 36, Issue 1, 2003, Pages 45-48

  Wang, Tai Yong ^a   Jiang, Qi ^a  

^a TIANJIN UNIVERSITY   (China)

Author keywords

Defect; Estimation; Magnetic flux leakage; Pipeline; Signal processing

Indexed keywords

DEFECTS; MAGNETIC FLUX; MAGNETIC LEAKAGE; PARAMETER ESTIMATION; PATTERN RECOGNITION; SIGNAL PROCESSING;

MAGNETIC FLUX LEAKAGE; QUANTITATIVE RECOGNITION TECHNOLOGY;

PIPELINES;

EID: 0041902154     PISSN: 04932137     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (5)

1. Mackintosh David D, Atherton David L. Test rigs for magnetic flux leakage inspection tools for pipelines [J]. Materials Evaluation, 1992, 50(1): 13-17.
2. Raad J A de. Comparison between ultrasonic and magnetic flux rigs of pipeline inspection [J]. Pipe and Pipelines International, 1987, 32(1): 7-15.
3. Mandayam S, Upda L, Upda S S et al. Invariance transformations for magnetic flux leakage signals [J]. IEEE Transactions on Magnetics, 1996, 32(3): 1588-1580.
4. Chen T, Chen H. Approximation capability to functions of several variables, nonlinear functional and operators by radial basis function neural networks [J]. IEEE Trans on Neural Networks, 1995, 6(4): 904-910.
5. Cu P, Yan X. Neural network approach to the reconstruction of free form surface for reverse engineering [J]. Computer-Aided Designing, 1995, 27(1): 59-64.