Progress In Electromagnetics Research
ISSN: 1070-4698, E-ISSN: 1559-8985
Home | Search | Notification | Authors | Submission | PIERS Home | EM Academy
Home > Vol. 121 > pp. 301-315


By X. Jiang, Y. Xia, J. Hu, F. Yin, C. Sun, and Z. Xiang

Full Article PDF (457 KB)

Aluminum conductor steel-reinforced (ACSR) cable is a specific type of stranded cable typically used for electrical power delivery. Steel strands in ACSR cable play a supportive role for overhead power line. Inspection timely is an important means to insure safety operation of power lines. As steel strands are wrapped in the center of ACSR cable, the common artificial inspection methods with optical instruments are limited to find inner flaws of power line. Recently, inspection of power line by robot with detectors is a method with good prospect. In this paper, the optimal design model of detector based on magnetic leakage flux (MLF) carried by robot for detecting broken steel strands in ACSR cables has been proposed. The optimal design model of MFL sensor is solved by niche genetic algorithm (NGA). Field experiment results show that the design method of the detector can be applied to different types of ACSR cables. The magnitude field induced by transmission current has nearly no influences on the detection of broken steel strands, and the developed detector carried by robot can identify broken steel strands with high reliability and sensitivity.

X. Jiang, Y. Xia, J. Hu, F. Yin, C. Sun, and Z. Xiang, "Optimal Design of Mfl Sensor for Detecting Broken Steel Strands in Overhead Power Line," Progress In Electromagnetics Research, Vol. 121, 301-315, 2011.

1. Lings, R., D. Cannon, L. Hill, M. Gaudry, R. Stone, and R. Shoureshi, Inspection & Assessment of Overhead Line Conductors, A State-of-the Science Report, EPRI Technical Progress 1000258, Electric Power Research Institute, Palo Alto, California, USA, 2000.

2. Goda, Y., S. Yokoyama, S. Watanabe, T. Kawano, and S. Kanda, "Melting and breaking characteristics of OPGW strands by lightning," IEEE Transactions on Power Delivery, Vol. 19, No. 4, 1734-1740, 2004.

3. Kudzys, W., "Safety of power transmission line structures under wind and ice storms," Engineering Structures, Vol. 28, 682-689, 2006.

4. Isozaki, M., K. Adachi, T. Hita, and Y. Asano, "Study of corrosion resistance improvement by metallic coating for overhead transmission line conductor," Electrical Engineering in Japan, Vol. 163, No. 1, 41-47, 2008.

5. Azevedo, C. R. F. and T. Cescon, "Failure analysis of aluminum cable steel reinforced (ACSR) conductor of the transmission line crossing the paranĂ¡ river," Engineering Failure Analysis, Vol. 9, No. 4, 645-664, 2002.

6. Cameron, G. W., P. S. Bodger, and J. J. Woudberg, "Incomplete faraday cage effect of helicopters used in platform live-line maintenance," IEE Proceedings-Generation, Transmission and Distribution, Vol. 145, No. 2, 145-148, 1998.

7. Ashidater, S., S. Murashima, and N. Fujii, "Development of a helicopter-mounted eye-safe laser radar system for distance measurement between power transmission lines and nearby trees," IEEE Transactions on Power Delivery, Vol. 17, No. 2, 644-648, 2002.

8. Sawada, J., K. Kusumoto, Y. Maikawa, T. Munakata, and Y. Ishikawa, "Mobile robot for inspection of power transmission lines," IEEE Transactions on Power Delivery, Vol. 6, No. 1, 309-315, 1991.

9. Toussaint, K., N. Pouliot, and S. Montambault, "Transmission line maintenance robots capable of crossing obstacles: Stage-of-the-art review and challenges ahead," Journal of Field Robotics, Vol. 26, No. 5, 477-499, 2009.

10. Li, W. H., A. Tajbakhsh, C. Rathbone, and Y. Vashishtha, "Image processing to automate condition assessment of overhead line components," 2010 1st International Conference on Applied Robotics for the Power Industry, 5-7, Robotics for the Power Industry, Montréal, Canada, Oct. 1-6, 2010.

11. Chen, L., Y. Luo, H. Chen, L. Zhang, and , Genetic Algorithm for Mechanical Optimum Design, 1st Ed., China Machine Press, Beijing, China, 2005 (in Chinese).

12. Siakavara, K., "Novel fractal antenna arrays for satellite networks: Circular ring Sierpinski carpet arrays optimized by genetic algorithms," Progress In Electromagnetics Research, Vol. 103, 115-138, 2010.

13. Jian, L., G. Xu, J. Song, H. Xue, D. Zhao, and J. Liang, "Optimum design for improving modulating-effect of coaxial magnetic gear using response surface methodology and genetic algorithm," Progress In Electromagnetics Research, Vol. 116, 297-312, 2011.

14. Reza, A. W., M. S. Sarker, and K. Dimyati, "A novel integrated mathematical approach of ray-tracing and genetic algorithm for optimizing indoor wireless coverage," Progress In Electromagnetics Research, Vol. 110, 147-162, 2010.

15. Mahanti, G. K., N. Pathak, and P. K. Mahanti, "Synthesis of thinned linear antenna arrays with foxed sidelobe level using real-coded genetic algorithm," Progress In Electromagnetics Research, Vol. 75, 319-328, 2007.

16. Xu, O., "Collimation lens design using AI-GA technique for Gaussian radiators with arbitrary aperture field distribution," Journal of Electromagnetic Waves and Applications, Vol. 25, No. 5-6, 743-754, 2011.

17. Zhang, Y.-J., S.-X. Gong, X. Wang, and W.-T. Wang, "A hybrid genetic-algorithm space-mapping method for the optimization of broadband aperture-coupled asymmetrical u-shaped slot antennas," Journal of Electromagnetic Waves and Applications, Vol. 24, No. 16, 2139-2153, 2010.

18. Dadgarnia, A. and A. A. Heidari, "A fast systematic approach for microstrip antenna design and optimization using ANFIS and GA," Journal of Electromagnetic Waves and Applications, Vol. 24, No. 16, 2207-2221, 2010.

19. Pu, T., K.-M. Huang, B. Wang, and Y. Yang, "Application of micro-genetic algorithm to the design of matched high gain patch antenna with zero-refractive-index metamaterial lens," Journal of Electromagnetic Waves and Applications, Vol. 24, No. 8-9, 1207-1217, 2010.

20. Lim, S. and H. Ling, "Comparing electrically small folded conical and spherical helix antennas based on a genetic algorithm optimization," Journal of Electromagnetic Waves and Applications, Vol. 23, No. 11-12, 1585-1593, 2009.

21. Zhang, Y.-J., S.-X. Gong, and Y.-X. Xu, "Radiation pattern synthesis for arrays of conformal antennas mounted on an irregular curved surface using modified genetic algorithms," Journal of Electromagnetic Waves and Applications, Vol. 23, No. 10, 1255-1264, 2009.

22. Zhang, J., D. Huang, T. Lok, and M. Lyu, "A novel adaptive sequential niche technique for multimodal function optimization," Neurocomputing, Vol. 69, No. 16-18, 2396-2401, 2006.

23. Dilettoso, E. and N. Salerno, "A self-adaptive niching genetic algorithm for multimodal optimization of electromagnetic devices," IEEE Transactions on Magnetics, Vol. 42, No. 4, 1203-1206, 2006.

24. Lee, C., D. Cho, and H. Jung, "Niching genetic algorithm with restricted competition selection for multimodal function optimization ," IEEE Transactions on Magnetics, Vol. 35, No. 3, 1722-1725, 1999.

25. Cho, D., J. Kim, H. Jung, and C. Lee, "Optimal design of permanent-magnet motor using autotuning niching genetic algorithm ," IEEE Transactions on Magnetics, Vol. 39, No. 3, 1265-1268, 2003.

26. Tan, J., Theory and Technology for Wire Rope Safe Detection, 1st Ed., Science Press, Beijing, China, 2009 (in Chinese).

27. Yang, S. and Y. Kang, Theory and Technology for Wire Rope Broken Strands Quantitative Detection, 1st Ed., National Defense Industry Press, Beijing, China, 1995 (in Chinese).

28. American Society for Non-Destructive Testing, Non-Destructive Testing Handbook, 2nd Ed., Electromagnetic, World Publishing Company, Shanghai, China, 1999 (in Chinese).

© Copyright 2014 EMW Publishing. All Rights Reserved