Laser & Optoelectronics Progress, Volume. 62, Issue 17, 1706002(2025)
Intelligent Processing Technology for Anomaly Detection and Denoising of Optical Fiber Plasma Sensing Data
Fig. 1. Original data and synthesized data. (a) Original data; (b) synthesized data
Fig. 2. DBSCAN classification results for three groups of outlier regions. (a) Classification results of the first group of data; (b) classification results of the second group of data; (c) classification results of the third group of data
Fig. 4. First decomposition results and IMF classification results. (a) First decomposition results; (b) IMF classification results
Fig. 8. Spectral data and spectral data at the 2000th time point. (a) Spectral data; (b) spectral data at the 2000th time points
Fig. 9. Time series of data at the spectral Dip and processed results. (a) Time series of data at the spectral Dip; (b) processed results of the time series
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Binqiang Ye, Yayu Yin, Minglang Zhang, Xiaoling Peng, Bin Tang. Intelligent Processing Technology for Anomaly Detection and Denoising of Optical Fiber Plasma Sensing Data[J]. Laser & Optoelectronics Progress, 2025, 62(17): 1706002
Category: Fiber Optics and Optical Communications
Received: Apr. 9, 2025
Accepted: May. 7, 2025
Published Online: Sep. 16, 2025
The Author Email: Xiaoling Peng (Pengxiaoling@cqut.edu.cn)
CSTR:32186.14.LOP251129