Research on de-noising method of optical fiber grating sensing signal based on S-G and CEEMDAN technology
Aiming at the problems of low accuracy and poor reliability of existing signal de-noising methods in the signal processing of fiber Bragg grating sensing system, based on the principle of fiber Bragg grating sensing, a signal de-noising method of fiber Bragg grating sensing system combining complete...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd.
2025-02-01
|
| Series: | Diance yu yibiao |
| Subjects: | |
| Online Access: | http://www.emijournal.net/dcyyben/ch/reader/create_pdf.aspx?file_no=20220415006&flag=1&journal_id=dcyyben&year_id=2025 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849705423748202496 |
|---|---|
| author | HUANG Gang PAN Like HE Chengzhang YANG Chengfeng LI Zhong GONG Shaokang |
| author_facet | HUANG Gang PAN Like HE Chengzhang YANG Chengfeng LI Zhong GONG Shaokang |
| author_sort | HUANG Gang |
| collection | DOAJ |
| description | Aiming at the problems of low accuracy and poor reliability of existing signal de-noising methods in the signal processing of fiber Bragg grating sensing system, based on the principle of fiber Bragg grating sensing, a signal de-noising method of fiber Bragg grating sensing system combining complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) method and S-G filtering method is proposed. The CEEMDAN method is used to decompose the sensor system signal, perform S-G filtering on the decomposed intrinsic mode functions (IMF) component, and reconstruct the filtered IMF component. Through the comparative analysis of various noise containment conditions, the feasibility of the proposed method is verified. The results show that compared with the traditional de-noising method, the proposed method has better de-noising performance, the wavelength fluctuation is greatly reduced by more than 90%, and the signal-to-noise radio (SNR) and peak signal-to-noise radio (PSNR) indicators are increased by about 1dB, which can effectively reduce the signal noise under the premise of maintaining the detailed characteristics of the sensing signal, which has certain use value. |
| format | Article |
| id | doaj-art-c94e31a464fb44479cd0c50a67b844eb |
| institution | DOAJ |
| issn | 1001-1390 |
| language | zho |
| publishDate | 2025-02-01 |
| publisher | Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd. |
| record_format | Article |
| series | Diance yu yibiao |
| spelling | doaj-art-c94e31a464fb44479cd0c50a67b844eb2025-08-20T03:16:28ZzhoHarbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd.Diance yu yibiao1001-13902025-02-01622697510.19753/j.issn1001-1390.2025.02.0091001-1390(2025)02-0069-07Research on de-noising method of optical fiber grating sensing signal based on S-G and CEEMDAN technologyHUANG Gang0PAN Like1HE Chengzhang2YANG Chengfeng3LI Zhong4GONG Shaokang5Yongjia County Electric Power Industry Co., Ltd., Wenzhou 325100, Zhejiang, ChinaYongjia County Electric Power Industry Co., Ltd., Wenzhou 325100, Zhejiang, ChinaState Grid Yongjia County Power Supply Co., Ltd., Wenzhou 325100, Zhejiang, ChinaYongjia County Electric Power Industry Co., Ltd., Wenzhou 325100, Zhejiang, ChinaYongjia County Electric Power Industry Co., Ltd., Wenzhou 325100, Zhejiang, ChinaCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, ChinaAiming at the problems of low accuracy and poor reliability of existing signal de-noising methods in the signal processing of fiber Bragg grating sensing system, based on the principle of fiber Bragg grating sensing, a signal de-noising method of fiber Bragg grating sensing system combining complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) method and S-G filtering method is proposed. The CEEMDAN method is used to decompose the sensor system signal, perform S-G filtering on the decomposed intrinsic mode functions (IMF) component, and reconstruct the filtered IMF component. Through the comparative analysis of various noise containment conditions, the feasibility of the proposed method is verified. The results show that compared with the traditional de-noising method, the proposed method has better de-noising performance, the wavelength fluctuation is greatly reduced by more than 90%, and the signal-to-noise radio (SNR) and peak signal-to-noise radio (PSNR) indicators are increased by about 1dB, which can effectively reduce the signal noise under the premise of maintaining the detailed characteristics of the sensing signal, which has certain use value.http://www.emijournal.net/dcyyben/ch/reader/create_pdf.aspx?file_no=20220415006&flag=1&journal_id=dcyyben&year_id=2025fiber bragg gratingsensing systemsignal de-noising methodceemdan methods-g filtering |
| spellingShingle | HUANG Gang PAN Like HE Chengzhang YANG Chengfeng LI Zhong GONG Shaokang Research on de-noising method of optical fiber grating sensing signal based on S-G and CEEMDAN technology Diance yu yibiao fiber bragg grating sensing system signal de-noising method ceemdan method s-g filtering |
| title | Research on de-noising method of optical fiber grating sensing signal based on S-G and CEEMDAN technology |
| title_full | Research on de-noising method of optical fiber grating sensing signal based on S-G and CEEMDAN technology |
| title_fullStr | Research on de-noising method of optical fiber grating sensing signal based on S-G and CEEMDAN technology |
| title_full_unstemmed | Research on de-noising method of optical fiber grating sensing signal based on S-G and CEEMDAN technology |
| title_short | Research on de-noising method of optical fiber grating sensing signal based on S-G and CEEMDAN technology |
| title_sort | research on de noising method of optical fiber grating sensing signal based on s g and ceemdan technology |
| topic | fiber bragg grating sensing system signal de-noising method ceemdan method s-g filtering |
| url | http://www.emijournal.net/dcyyben/ch/reader/create_pdf.aspx?file_no=20220415006&flag=1&journal_id=dcyyben&year_id=2025 |
| work_keys_str_mv | AT huanggang researchondenoisingmethodofopticalfibergratingsensingsignalbasedonsgandceemdantechnology AT panlike researchondenoisingmethodofopticalfibergratingsensingsignalbasedonsgandceemdantechnology AT hechengzhang researchondenoisingmethodofopticalfibergratingsensingsignalbasedonsgandceemdantechnology AT yangchengfeng researchondenoisingmethodofopticalfibergratingsensingsignalbasedonsgandceemdantechnology AT lizhong researchondenoisingmethodofopticalfibergratingsensingsignalbasedonsgandceemdantechnology AT gongshaokang researchondenoisingmethodofopticalfibergratingsensingsignalbasedonsgandceemdantechnology |