What is it about?

In this paper, we propose and demonstrate an intensity and wavelength division multiplexing (IWDM) FBG sensor system using a Raman amplifier and extreme learning machine (ELM). We use an IWDM technique to increase the number of FBG sensors. As the number of FBG sensors increases and the spectra of two or more FBGs are overlapped, a conventional peak detection (CPD) method is unappropriate to detect the central Bragg wavelength of each FBG sensor. To solve this problem, we use ELM techniques.

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Why is it important?

the well-trained ELM wavelength detection methods accurately detect the central Bragg wavelengths of FBG sensors when the two FBG spectra are fully overlapped and there are unmeasurable gaps.


This paper is the first one to combine long-distance FBG sensor system, large sensor system and machine learning techniques to improve the accuracy of the sensor system

Yibeltal Chanie Manie
National Taipei University of Technology

Read the Original

This page is a summary of: Intensity and Wavelength Division Multiplexing FBG Sensor System Using a Raman Amplifier and Extreme Learning Machine, Journal of Sensors, September 2018, Hindawi Publishing Corporation,
DOI: 10.1155/2018/7323149.
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