Study of XLPE Cable Materials Impurity Detecting Based on CCD Technology

Abstract:

In order to improve the present accuracy and speed of XLPE cable materials impurity testing, we set up the impurity testing system using the TCD132D chip and design the hardware driving circuits. Process the acquisition data using the virtual oscilloscope DSO2902. The method can discriminate whether the impurity particles exist or not effectively. The result shows that this system can measure the size of impurity particles of XLPE cable materials correctly, it also can find out the accurate location and numbers of impurity particles. The resolving power of this method can reach 20 µm and the error is less than 10%.The possibility that the impurity particles can be checked out is up to 100%.

• Periodical: Advanced Materials Research (Volumes 383-390)
• Pages: 3099-3104
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.383-390.3099
• Online since: November 2011
• Authors: Shu Hong Tang
• Keywords: CCD, Contamination Particles, Edge Detection, Signal Processing, Virtual Oscilloscope

References

[1] H. Zhao, Y. Liu, C. L. Li. XLPE insulation compound purity evaluation based on contam inant particlemapping technology, Chinese Journal of Scientific Instrumen, Vol 29, May. 2008, pp.1035-1039.

[2] C. Bradley, Automated Surface Roughness Measurement, The International Journal of Advanced Manufacturing Technology, Vol. 9, No. 16, pp.668-674, Dec. (2000).

DOI: 10.1007/s001700070037

[3] G. S. XU. RHEOTENS Detection and Control System Based on Virtual Instrument Technology, Instrument Technique and Sensor, No. 5, 2008, pp.107-109.

[4] H. Zhao, D. T. Tu. Holograph Sizing of Contaminants in XLPE Cables[J]. IEEE Trans on EI, Vol. 4, 1991, p.217~221.

[5] G. S. XU. The Study on Real-time Data Processing Based on CCD Scanning and Detecting Device on FPGA [C]. 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems., No. 2, 2009, pp.81-84.

DOI: 10.1109/icicisys.2009.5358238

[6] Hynecek J. CDS noise reduction of partially reset charge-detection nodes. IEEE Circuits and Systems I: Fundamental Theory and Applications, 2002，Vol. 49, 2002, pp.276-280.

DOI: 10.1109/81.989160

[7] Scholz J. Investigations on Fabrics Coated with Precious Metals Using Magnetron Sputter Technique with Regard to Their Antimicrobial Properties [J]. Surface and Coatings Technology, Vol. 192, 2005, pp.252-256.

DOI: 10.1016/j.surfcoat.2004.05.036

[8] G. S. XU. Sub-pixel Edge Detection Based on Curve Fitting [C]. The Second International Conference on Information and Computing Science, No. 2, 2009, pp.373-375.

DOI: 10.1109/icic.2009.205

[9] H. M. Ahmed, R. E. Gabr and M. Kadahy, et al, A New Method for Data Acquisition and Image Reconstruction in Parallel Magnetic Resonance Imaging". Proceedings of the 2008 IEEE, CIBEC, 08, No. 9, pp.1-2, Dec. (2008).

DOI: 10.1109/cibec.2008.4786092

[10] Mezaris V, Strintzis M G. Video object segmentation using Bayes-based temporal tracking and traject ory-based region merging. IEEE Trans. Circuits and Systems for Video Technology, Vol. 14, 2004, p.782~795.

DOI: 10.1109/tcsvt.2004.828341