Enlargement of Measurement Range in a Fiber-Optic Ice Sensor by Artificial Neural Network

Authors:
Wei Li;Jie Zhang;Ying Zheng;Lin Ye
Affiliations:
Department of Control Science & Engineering, Huazhong University of Science and Technology, Wuhan, China 430074;Department of Control Science & Engineering, Huazhong University of Science and Technology, Wuhan, China 430074;Department of Control Science & Engineering, Huazhong University of Science and Technology, Wuhan, China 430074;Department of Control Science & Engineering, Huazhong University of Science and Technology, Wuhan, China 430074
Venue:
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Year:
2009

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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.