Design and Implementation of Tilted FBG for Concurrent Temperature and Humidity Measurement using Machine Learning

Raju, Bharathi; R., Kumar; Dhanalakshmi, Samiappan

doi:10.1016/j.yofte.2023.103630

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2024

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Cited by 5 publications

References 47 publications

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Recent Applications of Fiber Bragg Grating Sensors in Humidity and Water Content Detection in Agriculture: A Comprehensive Review of Development, Challenges, and Future Trends

Abdulraheem,

Xiong,

Zhang

et al. 2024

Int. J. Precis. Eng. Manuf.

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Recent Applications of Fiber Bragg Grating Sensors in Humidity and Water Content Detection in Agriculture: A Comprehensive Review of Development, Challenges, and Future Trends

Abdulraheem,

Xiong,

Zhang

et al. 2024

Int. J. Precis. Eng. Manuf.

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Optical properties estimation of photonic crystal fiber using Gaussian process regression

Abdul Kaium,

Mollah

2024

Opt. Continuum

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In contrast to typical optical fiber, photonic crystal fiber (PCF) exhibits a variety of unique optical properties as a result of its flexible cladding distribution. Nonetheless, assessing PCF optical characteristics becomes difficult when structural parameters fluctuate. This issue is a serious impediment to fully understanding and leveraging PCF's potential for diverse optical applications. Furthermore, the variety in structural factors makes it difficult to ensure PCF's consistent and reliable performance in practical optical systems. Artificial neural networks (ANN) are widely used to forecast the optical parameters of PCF. However, ANNs have issues when dealing with local minima. In contrast, solutions obtained from support vector machines regressions (SVM/SVR), Gaussian process regressions (GPR), and k-nearest neighbors regression (KNNR) are globally unique and avoid the dangers of slipping into local minimum values. Major properties such as effective refractive index (n e f f ), confinement loss (α c ) and dispersion (D) of photonic crystal fiber (PCF) were predicted using SVM/SVR, GPR, KNNR, random forest regression (RFR), gradient boosting regression (GBR), and ANN. To evaluate the performance of various regression algorithms, we created a database of 2912 samples including the X and Y directions. In terms of prediction accuracy and stability, SVM and GPR outperform other approaches.

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Mzi-Based High Intensity Responsive Sandwiched Multi-Layer Fiber Optic Humidity Sensor

Xiaopeng,

Zhang,

Peng

et al. 2024

Preprint

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Design and Implementation of Tilted FBG for Concurrent Temperature and Humidity Measurement using Machine Learning

Cited by 5 publications

References 47 publications

Recent Applications of Fiber Bragg Grating Sensors in Humidity and Water Content Detection in Agriculture: A Comprehensive Review of Development, Challenges, and Future Trends

Recent Applications of Fiber Bragg Grating Sensors in Humidity and Water Content Detection in Agriculture: A Comprehensive Review of Development, Challenges, and Future Trends

Optical properties estimation of photonic crystal fiber using Gaussian process regression

Mzi-Based High Intensity Responsive Sandwiched Multi-Layer Fiber Optic Humidity Sensor

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