Table of Contents
Journal of Photonics
Volume 2013, Article ID 528478, 7 pages
http://dx.doi.org/10.1155/2013/528478
Research Article

Monitoring of Moisture in Transformer Oil Using Optical Fiber as Sensor

Department of EEE, Don Bosco College of Engineering and Technology, Assam Don Bosco University, Guwahati, Assam 781017, India

Received 26 March 2013; Revised 21 June 2013; Accepted 1 July 2013

Academic Editor: Luciano Mescia

Copyright © 2013 S. Laskar and S. Bordoloi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. D. Hazarika, K. C. Sarma, and P. K. Sarmah, “Microprocessor-based temperature monitoring system using optical fibers,” IEEE Sensors Journal, vol. 9, no. 9, pp. 1025–1028, 2009. View at Publisher · View at Google Scholar · View at Scopus
  2. D. Hazarika and D. S. Pegu, “Microcontroller based air pressure monitoring instrumentation system using optical fibers as sensor,” Optical Fiber Technology, vol. 19, pp. 83–87, 2013. View at Google Scholar
  3. D. R. Miers, D. Raj, and J. W. Brthold, “Designed and characterization of optical fiber acceleratometers,” in Fiber Optic and Laser Sensors V, vol. 838 of Proceedings of SPIE, pp. 314–317, San Diego, Calif, USA, 1987. View at Publisher · View at Google Scholar
  4. R. Liu, Z. Fu, Y. Zhao, Q. Cao, and S. Wang, “Operation principle of a bend enhanced curvature optical fiber sensor,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '06), pp. 1966–1971, October 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. F. Prudenzano, L. Mescia, L. A. Allegretti et al., “Design of an optical sensor array for hydrocarbon monitoring,” Optical and Quantum Electronics, vol. 41, no. 1, pp. 55–68, 2009. View at Publisher · View at Google Scholar · View at Scopus
  6. W. Hribernik, G. Pascoli, and K. Fróhlich, “An advanced model-based diagnosis system for online detection of the moisture content of power transformer insulations,” in Proceedings of the IEEE International Symposium on Electrical Insulation (ISEI '08), pp. 187–191, June 2008. View at Publisher · View at Google Scholar · View at Scopus
  7. G. F. C. Veloso, L. E. B. Silva, I. Noronha, and G. Lambert Torres, “Using partial discharge as sample signal source to identify contamination moisture pattern in power transformer insulating oil,” in Proceedings of the 36th Annual Conference of the IEEE Industrial Electronics Society (IECON '10), pp. 1041–1044, November 2010. View at Publisher · View at Google Scholar · View at Scopus
  8. C.-P. Zhu, Y.-L. Huang, M.-L. Shan, and L.-H. Lu, “The research of moisture detection in transformer oil based on ultrasonic method,” in Proceedings of the 2nd International Conference on Information Science and Engineering (ICISE '10), pp. 1621–1624, December 2010. View at Publisher · View at Google Scholar · View at Scopus
  9. W.-G. Chen, D.-G. Gan, and Q. Liu, “On-line monitoring model based on neural network for moisture content in transformer oil,” High Voltage Engineering, vol. 33, no. 5, pp. 73–78, 2007. View at Google Scholar · View at Scopus
  10. A. Banerjee, S. Mukherjee, R. K. Verma et al., “Fiber optic sensing of liquid refractive index,” Sensors and Actuators B, vol. 123, no. 1, pp. 594–605, 2007. View at Publisher · View at Google Scholar · View at Scopus
  11. T. Takeo and H. Hattori, “Optical fiber sensor for measuring refractive index,” Japanese Journal of Applied Physics, vol. 21, no. 10, pp. 1509–1512, 1982. View at Google Scholar · View at Scopus
  12. A. L. Chaudhari and A. D. Shaligram, “Multi-wavelength optical fiber liquid refractometry based on intensity modulation,” Sensors and Actuators A, vol. 100, no. 2-3, pp. 160–164, 2002. View at Publisher · View at Google Scholar · View at Scopus
  13. R. Shoureshi, V. Permana, R. Wood, R. Swartzendruber, and M. Simoes, “Optical sensor for transformer monitoring,” Intelligent Transformer Monitoring System Utilizing Neuro-Fuzzy Technique Approach, PSERC 04-27, 2004. View at Google Scholar
  14. M. Koch, S. Tenbohlen, and T. Stirl, “Advanced online moisture measurement in power transformer,” in Proceedings of the International Conference on Condition Monitoring and Diagnosis (CMD '06), April 2006.
  15. A. Barwicz and W. J. Bock, “An electric high-pressure measuring system using a polarimetric fiber-optic sensor,” IEEE Transactions on Instrumentation and Measurement, vol. 39, no. 6, pp. 976–981, 1990. View at Publisher · View at Google Scholar · View at Scopus
  16. G. Betta, A. Pietrosanto, and A. Scaglione, “Microcontroller-based performance enhancement of an optical fiber level transducer,” IEEE Transactions on Instrumentation and Measurement, vol. 47, no. 2, pp. 489–493, 1998. View at Publisher · View at Google Scholar · View at Scopus
  17. G. Keiser, Attenuation: Optical Fiber Communication, Mcgraw Hill, 2nd edition, 1991.
  18. D. Gloge, “Bending loss in multimode fibers with graded and ungraded core fibers,” Applied Optics, vol. 11, no. 11, pp. 2506–2513, 1972. View at Google Scholar · View at Scopus
  19. B. P. Pal, “Characterization of optical fibers for telecommunication and sensors-Multimode fibers: fundamentals of fibre optics,” in Telecommunication and Sensor Systems, pp. 264–267, New Age International, 1st edition, 2009. View at Google Scholar
  20. D. Hazarika, K. C. Sarma, and N. Baruah, “static voltage stability indication in a power system using ANN,” IJMAN, vol. 2, no. 1, pp. 44–49, 2012. View at Google Scholar