Transactions on Machine Intelligence

Transactions on Machine Intelligence

Design of an Interrogation System for FBG Sensors Using TDM Technique for Applications in Oil and Gas Industries

Document Type : Original Article

Authors
O. Entezar 1
Z. Alaie 2
1 M.Sc. Student, Faculty of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
2 Assistant Professor, Faculty of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
10.47176/TMI.2018.92
Abstract
In this paper, we design and simulate an interrogation system for Fiber Bragg Grating (FBG) sensors using the time-wavelength division multiplexing (TDM) technique. Interrogation systems enable the determination of the environmental conditions surrounding each sensor. Environmental changes such as temperature and strain alter the Bragg wavelength. The relationship between wavelength shifts and measurable quantities is linear. Given the linear equation and the Bragg wavelength of each sensor, it is possible to measure the environmental quantities around each sensor. The strain and temperature sensitivities for each sensor are 0.78/µε and 9.15×10-6/°C, respectively. The designed system, due to its amplification capability without the use of amplifying fibers, not only reduces the system design costs but also increases the speed of detecting changes in the measurable quantities. Furthermore, due to the lack of reduction in sensor reflectivity and the appropriate spacing between the Bragg wavelengths of each sensor, the measurement range for the measurable quantities has increased. Additionally, the reflectivity of each sensor in the output of the interrogation system does not decrease, which reduces errors in this system.
Keywords
Interrogation System
Fiber Bragg Gratings
Time-Wavelength Division Multiplexing
[1]    Annamdas, K. K. K., & Annamdas, V. G. M. (2010). Review on developments in fiber optical sensors and applications. In Fiber Optic Sensors and Applications VII (Vol. 7677, p. 76770R). International Society for Optics and Photonics. https://doi.org/10.1117/12.849799
[2]    Kawabata, Y., Kamichika, T., Imasaka, T., & Ishibashi, N. J. A. C. A. (1989). Fiber-optic sensor for carbon dioxide with a pH indicator dispersed in a poly (ethylene glycol) membrane. Analytica Chimica Acta, 219, 223-229. https://doi.org/10.1016/S0003-2670(00)80353-0
[3]    Annamdas, V. G. M., Yang, Y., & Liu, H. (2008). Current developments in fiber Bragg grating sensors and their applications. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008 (Vol. 6932, p. 69320D). International Society for Optics and Photonics. https://doi.org/10.1117/12.775715
[4]    Fu, H., et al. (2008). Pressure sensor realized with polarization-maintaining photonic crystal fiber-based Sagnac interferometer. Applied Optics, 47(15), 2835-2839. https://doi.org/10.1364/AO.47.002835
[5]    Chen, J., Liu, B., & Zhang, H. J. F. o. O. i. C. (2011). Review of fiber Bragg grating sensor technology. Frontiers of Optoelectronics in China, 4(2), 204-212. https://doi.org/10.1007/s12200-011-0130-4
[6]    Ren, P., & Zhou, Z. (2017). Strain estimation of truss structures based on augmented Kalman filtering and modal expansion. Advances in Mechanical Engineering, 9. https://doi.org/10.1177/1687814017735788
[7]    Aspell, P., Bravo, C., Dabrowski, M., Lentdecker, G., Robertis, G., Firlej, M., ... & Tuuva, T. (2018). VFAT3: A Trigger and Tracking Front-end ASIC for the Binary Readout of Gaseous and Silicon Sensors. 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC), 1-8. https://doi.org/10.1109/NSSMIC.2018.8824655
[8]    Sekihara, K. (2018). Signal Space Separation Method for a Biomagnetic Sensor Array Arranged on a Flat Plane for Magnetocardiographic Applications: A Computer Simulation Study. Journal of Healthcare Engineering, 2018. https://doi.org/10.1155/2018/7689589
[9]    Sekiya, H., Maruyama, O., & Miki, C. (2017). Identification of Cause of Displacement-Induced Fatigue in Steel Bridges Based on Displacement Measurements Using High-Performance Micro-electromechanical Systems Sensor. Sensors and Materials, 29, 140. https://doi.org/10.18494/SAM.2017.1420
[10]    Zuluaga, J. A. F., Bonilla, J. F. V., Pabon, J. D. O., & Rios, C. M. S. (2018). Radar Error Calculation and Correction System Based on ADS-B and Business Intelligent Tools. 2018 International Carnahan Conference on Security Technology (ICCST), 1-5. https://doi.org/10.1109/CCST.2018.8585728
[11]    Li, J., & Hao, H. (2016). A review of recent research advances on structural health monitoring in Western Australia. Structural Monitoring and Maintenance, 3, 33-49. https://doi.org/10.12989/smm.2016.3.1.033
[12]    Mäki, A.-J., Ryynänen, T., Verho, J., Kreutzer, J., Lekkala, J., & Kallio, P. (2018). Indirect Temperature Measurement and Control Method for Cell Culture Devices. IEEE Transactions on Automation Science and Engineering, 15, 420-429. https://doi.org/10.1109/TASE.2016.2613912
[13]    Felli, F., Paolozzi, A., Vendittozzi, C., Paris, C., & Asanuma, H. (2016). Use of FBG sensors for health monitoring of pipelines. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016 (Vol. 9803, p. 98031L). International Society for Optics and Photonics. https://doi.org/10.1117/12.2222151
[14]    Vikas, S. D., & Grover, A. J. A. E. T. A. (2015). Fabrication and applications of fiber bragg grating-A Review. Advances in Engineering Technology and Applications, 4(2), 15-25.
[15]    da Silva Marques, R., et al. (2015). Corrosion resistant FBG-based quasi-distributed sensor for crude oil tank dynamic temperature profile monitoring. Sensors, 15(12), 30693-30703. https://doi.org/10.3390/s151229811
[16]    Kashyap, R. (2009). Fiber Bragg Gratings. Academic Press. https://doi.org/10.1016/B978-0-12-372579-0.00007-7
Transactions on Machine Intelligence
Volume 1, Issue 2
Spring 2018
Pages 92-98

  • Receive Date 03 March 2024
  • Revise Date 20 April 2024
  • Accept Date 09 May 2024