Abstract
Artificial neural network (ANN) isemployed to present a fiber-optic ice sensor (FOIS) with wide measurement range. Comparing with existing FOIS signal processing methods, this approach is not limited by the double-valued problem of output curve. Instead, it performs a measurement range from front-slope areas to back-slope areas. Moreover, this approach also handles the nonlinear problem of the sensor. As an application of the ANN, a calibration experiment platform is set up. The training samples are employed to train the ANN, and the testing samples are applied to surveil the predict ability of the ANN. The results obtained demonstrate the applicability of the proposed approach.
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References
Meng, Q.: Fiber-optic Temperature Sensor Based on Semiconductor Optical Absorption. J. Information Technology and Informatio 5, 48–50 (2004)
Gong, H.: Reflective Optical Fiber Micro-displacement Sensor. J. Journal of Transducer Technology 22, 16–17 (2003)
Zhao, Z., Gao, Y., Luo, Y.: Fiber-optic Pressure Sensor. J. Journal of Transducer Technology 4, 13–15 (2005)
Ikiades, A., Glen, H., Armstrong, D.J.: Measurement of Optical Diffusion Properties of Ice for Direct Detection Ice Accretion Sensors. J. Sensors and Actuators A: physical 140, 24–31 (2007)
Ikiades, A., Armstrong, D.J., Howard, G.: Optical Diffusion and Polarization Characteristics of Ice accreting in Dynamic Conditions Using a Backscattering Fiber Optic Technique. J. Sensors and Actuators A: Physical 140, 43–50 (2007)
Kiades, A.: Direct Ice Detection based on Fiber Optic Sensor Architecture. J. Applied Physics Letters 91, 104–106 (2007)
Ma, J., Zhang, L., Tang, W.: The Reference Scheme of Optic Fiber Displacement Sensor: Analysis and Design. J. Laser Journal 17, 197–200 (1996) (in Chinese)
Zhang, H., Li, X.: Design of Electronical Circuit for the Linearity Compensation of a Reflective Type Fiber-optic Displacement Sensor. J. Journal of Transducer Technology 18, 19–22 (1999) (in Chinese)
Ikiades, A., Armstrong, D.J., et al.: Fiber Optic Sensor Technology for Air Conformal Ice Detection. J. Industrial and Highway Sensors Technology 5272, 357–368 (2004)
Sejnowski, T.J., Rosenberg, C.: Parallel Networks That Learn to Pronounce English Text. J. Complex System 1, 145–168 (1987)
Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning Internal Representations by Error Propagation. In: Parallel Distributed Processing: Explorations in the Microstructures of Cognition, pp. 318–362. MIT Press, Cambridge (1986)
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Li, W., Zhang, J., Zheng, Y., Ye, L. (2009). Enlargement of Measurement Range in a Fiber-Optic Ice Sensor by Artificial Neural Network. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01513-7_102
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DOI: https://doi.org/10.1007/978-3-642-01513-7_102
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01512-0
Online ISBN: 978-3-642-01513-7
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