LS-SVM based signal processing of reflective fiber optic displacement sensor

Xiaodong Wang; Haoran Zhang; Changjiang Zhang; Genliang Feng; Minlan Jiang

doi:10.1117/12.668401

20 January 2006 LS-SVM based signal processing of reflective fiber optic displacement sensor

Xiaodong Wang, Haoran Zhang, Changjiang Zhang, Genliang Feng, Minlan Jiang

Proceedings Volume 6027, ICO20: Optical Information Processing; 602749 (2006) https://doi.org/10.1117/12.668401
Event: ICO20:Optical Devices and Instruments, 2005, Changchun, China

Abstract

A least squares support vector machine (LS-SVM) based signal processing approach of reflective fiber optic displacement sensor is presented. The example for extending measuring range of the sensor using LS-SVM has been illustrated. From the experimental results, it can be clearly seen that not only the measuring range can be extended to the whole response characteristics of the fiber optics displacement sensor effectively, but also a desired linear relationship between the actual displacement and the LS-SVM predicted output can be obtained. This means the method proposed is very effective for the signal processing of the sensor.

Citation Download Citation

Xiaodong Wang, Haoran Zhang, Changjiang Zhang, Genliang Feng, and Minlan Jiang "LS-SVM based signal processing of reflective fiber optic displacement sensor", Proc. SPIE 6027, ICO20: Optical Information Processing, 602749 (20 January 2006); https://doi.org/10.1117/12.668401

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