4.7 Article

Quantitative measurement of disturbances based on optical-fibre multiparameter optimization method

期刊

MEASUREMENT
卷 187, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.measurement.2021.110279

关键词

Disturbance measurement; phi-OTDR; Multiparameter optimization; Intrusion detection; Security monitoring

资金

  1. National Natural Science Founding of China [51878628, 61722108]
  2. National key R&D Program of China [2018YFB1801002]

向作者/读者索取更多资源

This paper proposes a quantitative method to measure disturbances using amplitude-based phi-OTDR and develops the FMPO method, which calculates strain by analyzing the curve pattern of optical intensity signals. Experimental results show a strong linear correlation between quantification indices and vibration amplitude, and successful identification of different intrusion intensities.
Phase-sensitive optical time domain reflectometry (phi-OTDR) has been applied in security monitoring. However, phi-OTDR cannot directly measure strain and intensity of an applied disturbance, thereby limiting the choice of features for intrusion pattern recognition and hazard assessment. This paper proposes a quantitative method to measure disturbances using amplitude-based (phi-OTDR. The optical-fibre multiparameter optimization (FMPO) method is developed. The FMPO analyses the curve pattern of optical intensity signals to calculate strain. No extra module is needed, instead a specially designed bio-inspired algorithm is introduced. Quantification indices to gauge disturbance intensities are derived for practical use. A piezoelectric ceramic cylinder test demonstrated a linear correlation between the quantification indices and the vibration amplitude (R-2 = 0.8956). The calculated strains of 34 driven voltages agreed well with theoretical values within 1000 ne. In a pendulum-impact experiment, five intrusion intensities were successfully identified, which indicated that FMPO performed well in the field.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据