Comparison of FWHM and peak power techniques for simultaneous measurement of strain and temperature in FBG sensors

Gholampour, Mahdi; Mansoursamaei, Mohsen; Malakzadeh, Abdollah

doi:10.1007/s11082-022-04177-7

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2023

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“…As quasi-distrusted sensors, FBGs have attracted much interest in the applications of strain and temperature measurements for highway structures, buildings, railways, and gesture recognition [12][13][14][15][16][17]. The FBG-based sensing systems work by measuring the displacement of the Bragg peak in the spectrum and then deriving the change in the physical quantity.…”

Section: Introductionmentioning

confidence: 99%

Strain FBG-Based Sensor for Detecting Fence Intruders Using Machine Learning and Adaptive Thresholding

Elleathy,

Alhumaidan,

Alqahtani

et al. 2023

Sensors

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This paper demonstrates an intruder detection system using a strain-based optical fiber Bragg grating (FBG), machine learning (ML), and adaptive thresholding to classify the intruder as no intruder, intruder, or wind at low levels of signal-to-noise ratio. We demonstrate the intruder detection system using a portion of a real fence manufactured and installed around one of the engineering college’s gardens at King Saud University. The experimental results show that adaptive thresholding can help improve the performance of machine learning classifiers, such as linear discriminant analysis (LDA) or logistic regression algorithms in identifying an intruder’s existence at low optical signal-to-noise ratio (OSNR) scenarios. The proposed method can achieve an average accuracy of 99.17% when the OSNR level is <0.5 dB.

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