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.
Featured Image
Photo by Luca Bravo on Unsplash
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.
Perspectives
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.
You can read the full text:
Contributors
The following have contributed to this page
