Robust Design of a Natural Gas Transmission Pipeline Inspection Tool using the Taguchi Method

The capability of a natural gas transmission pipeline inspection tool to detect cracks and corrosion is affected by a number of factors, namely, magnetization level, sensor spacing, radial liftoff, and circumferential alignment of the sensors relative to a defect. The first two factors are design parameters and are controllable factors. The last two factors are hard to control on site and are treated as noise factors. The Taguchi method is utilized to obtain an efficient set of design parameters that are robust with respect to noise and other variations in test parameters. This article first introduces the basic idea underlying the Taguchi method. Procedures for designing and simulation of experiments are given along with simulation results, which are analyzed using the main effects and analysis of variance techniques. Conclusive remarks based on the analysis are finally summarized.

References
1. G. J. Posakony and V. L. Hill. Assuring the Integrity of Natural Gas Transmission Pipelines, Technical Report, Gas Research Institute, Chicago, IL (1992). 2. A. E. Crouch. In-Line Inspection of Natural Gas Pipelines, Technical Report, Gas Research Institute, Chicago, IL (1993). 3. T. A. Bubenik, J. B. Nestleroth, R. J. Eiber, and B. F. Saffell. Magnetic Flux Leakage (MFL) Technology for Natural Gas Pipeline Inspection, Technical Report, Gas Research Institute, Chicago, IL (1992). 4. S. N. Rajesh, L. Udpa, and S. S. Udpa. Numerical model based approach for estimating probability of detection in NDE applications. IEEE Transactions on Magnetics 29:1857–1860 (1993). 5. Z. Zeng, L. Xuan, Y. Sun, L. Udpa, and S. Udpa. Probability of detection model for gas transmission pipeline inspection. Research in Nondestructive Evaluation 15(3):99–110 (2004). 6. R. K. Roy. A Primer on the Taguchi Method. Van Nostrand Reinhold, John Wiley & Sons, Inc. (1990). 7. Z. Zeng. Applications of POD Studies and Robust Design to Electromagnetic NDE, Ph.D. Dissertation, Iowa State University (2003). 8. S. Brisset, F. Gillou, S. Vivier, and P. Brochet. Optimization with experimental design: An approach using Taguchi’s methodology and finite element simulations. IEEE Transactions on Magnetics 37(5):3530–3533 (2001). 9. C. F. J. Wu and M. Hamada. Experiments: Planning, Analysis, and Parameter Design Optimization. Wiley-Interscience (2000). 10. T. J. Lorenzen. Taguchi’s parameter design: A panel discussion. Technometrics 34(2):127–161 (1992).
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