Principles of Fiber Bragg Gratings in Artificial Intelligence

This perspective provides an overview of the sensing systems that combine FBG and AI technologies in medicine, focusing on their working principle, potentials, and challenges. It also explores the open research direction...

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Principles Fiber Bragg Gratings

Fully automatic fabrication of fibre Bragg gratings using an AI

In this study, we present an AI- powered FLI system that enables automated, stable, and efficient FBG fabrication. By integrating a Multi-Layer Perceptron (MLP) model for real-time fabrication position

Combining fiber Bragg grating sensors and artificial intelligence in

Section II provides an overview of the theoretical framework and measuring principle of FBGs, underlining also their strengths and weaknesses. Section III summarizes the current state of

Analysis of the optical properties of a fiber Bragg grating using

Fiber Bragg gratings (FBGs) are the most popular component used for efficient sensing purposes due to their unique inherent properties. Here, we have analyzed v

Intelligent design of Bragg gratings using artificial intelligence

We predict the characteristics of Bragg gratings by means of AI algorithms trained on their OR. By refining simulation accuracy, optimizing AI algorithms to predict the OR, and constructing

Artificial Intelligence and Machine Learning in Optical Fiber

This included an overview of the operating mechanisms of fiber Bragg grating sensors, interferometric sensors, and distributed sensing methods based on Rayleigh, Brillouin, and Raman

Functional mimicry of Ruffini receptors with fibre Bragg gratings and

In this work, the development of a large-area sensitive soft skin with a curved geometry is presented, allowing for robot total-body coverage through modular patches.

Combining fiber Bragg grating sensors and artificial

Section II provides an overview of the theoretical framework and measuring principle of FBGs, underlining also their strengths and weaknesses.

Chirped apodized fiber Bragg gratings inverse design via deep learning

Here, we present a novel artificial intelligence-based approach that effectively addresses these challenges. We introduce a methodology centered on applying deep learning (DL) to estimate

Shape sensing of optical fiber Bragg gratings based on deep learning

In this paper, we conducted a more thorough investigation to find a suitable architectural design of the deep learning model to further increase shape prediction accuracy. We used the

Recent Advances in Fiber Bragg Grating Sensing

In conclusion, this comprehensive review paper provides a panoramic view of the recent advancements in Fiber Bragg Gratings (FBGs) and their diverse applications in optical fiber sensors.

(PDF) Fully automatic fabrication of fibre Bragg gratings using an AI

We systematically explored the effects of pulse energy and scanning speed on the quality and spectral characteristics of the gratings, achieving reflectivities as high as 99.81%.

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