Wavelength detection in spectrally overlapped FBG sensor network using extreme learning machine
This paper presents a novel learning-based method called extreme learning machine (ELM) to solve the Bragg wavelength detection problem in the fiber Bragg grating (FBG) sensor network. Based on building up a regression model, the proposed approach is divided into two phases: offline training ph...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/103790 http://hdl.handle.net/10220/24580 |
| _version_ | 1811689921508802560 |
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| author | Jiang, Hao Chen, Jing Liu, Tundong |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Jiang, Hao Chen, Jing Liu, Tundong |
| author_sort | Jiang, Hao |
| collection | NTU |
| description | This paper presents a novel learning-based method
called extreme learning machine (ELM) to solve the Bragg
wavelength detection problem in the fiber Bragg grating (FBG)
sensor network. Based on building up a regression model, the
proposed approach is divided into two phases: offline training
phase and online detection phase. Due to the good generalization
capability of ELM, the well-trained detection model can directly
and accurately determine the Bragg wavelengths of the sensors
even when the spectra of FBGs are completely overlapped. The
results demonstrate that the proposed method is efficient and
stable. It has shown competitive advantages in terms of the
detection accuracy, the offline training speed as well as the real
time detection efficiency. |
| first_indexed | 2024-10-01T05:55:47Z |
| format | Journal Article |
| id | ntu-10356/103790 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:55:47Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | ntu-10356/1037902020-03-07T14:02:39Z Wavelength detection in spectrally overlapped FBG sensor network using extreme learning machine Jiang, Hao Chen, Jing Liu, Tundong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics This paper presents a novel learning-based method called extreme learning machine (ELM) to solve the Bragg wavelength detection problem in the fiber Bragg grating (FBG) sensor network. Based on building up a regression model, the proposed approach is divided into two phases: offline training phase and online detection phase. Due to the good generalization capability of ELM, the well-trained detection model can directly and accurately determine the Bragg wavelengths of the sensors even when the spectra of FBGs are completely overlapped. The results demonstrate that the proposed method is efficient and stable. It has shown competitive advantages in terms of the detection accuracy, the offline training speed as well as the real time detection efficiency. Accepted version 2015-01-12T03:28:41Z 2019-12-06T21:20:19Z 2015-01-12T03:28:41Z 2019-12-06T21:20:19Z 2014 2014 Journal Article Jiang, H., Chen, J., & Liu, T. (2014). Wavelength detection in spectrally overlapped FBG sensor network using extreme learning machine. IEEE photonics technology letters, 26(20), 2031-2034. https://hdl.handle.net/10356/103790 http://hdl.handle.net/10220/24580 10.1109/LPT.2014.2345062 en IEEE photonics technology letters © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/LPT.2014.2345062]. 4 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics Jiang, Hao Chen, Jing Liu, Tundong Wavelength detection in spectrally overlapped FBG sensor network using extreme learning machine |
| title | Wavelength detection in spectrally overlapped FBG sensor network using extreme learning machine |
| title_full | Wavelength detection in spectrally overlapped FBG sensor network using extreme learning machine |
| title_fullStr | Wavelength detection in spectrally overlapped FBG sensor network using extreme learning machine |
| title_full_unstemmed | Wavelength detection in spectrally overlapped FBG sensor network using extreme learning machine |
| title_short | Wavelength detection in spectrally overlapped FBG sensor network using extreme learning machine |
| title_sort | wavelength detection in spectrally overlapped fbg sensor network using extreme learning machine |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics |
| url | https://hdl.handle.net/10356/103790 http://hdl.handle.net/10220/24580 |
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