Application of machine learning in optical fiber sensors

Y Zhou, Y Zhang, Q Yu, L Ren, Q Liu, Y Zhao - Measurement, 2024 - Elsevier
In recent years, with the increasing demand for intelligent society, intelligent photonics has
developed rapidly. Machine learning (ML), as a subset of artificial intelligence (AI), has …

[HTML][HTML] Activation function dynamic averaging as a technique for nonlinear 2D data denoising in distributed acoustic sensors

AT Turov, FL Barkov, YA Konstantinov, DA Korobko… - Algorithms, 2023 - mdpi.com
This work studies the application of low-cost noise reduction algorithms for the data
processing of distributed acoustic sensors (DAS). It presents an improvement of the …

Emerging technologies for Fiber-Optic Based Sensors in Biomedical Domain: A Review and Recent Developments

RS Bujugundla, HS Pradhan - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Fiber-optic sensor (FOS) technology, a proximate of optoelectronics and fiber-optic
communications, has profound ability to replace the existent biomedical sensors …

Distributed fiber optic sensors for structural health monitoring of composite pressure vessels

C Karapanagiotis, M Schukar, K Krebber - tm-Technisches Messen, 2024 - degruyter.com
In this paper, we present a comprehensive overview of our research in the field of distributed
fiber optic sensors for structural health monitoring of hydrogen composite pressure vessels …

Machine learning-augmented multi-arrayed fiber bragg grating sensors for enhanced structural health monitoring by discriminating strain and temperature variations

S Saha, SA Hadigheh, I Rukhlenko, M Valix… - Journal of Civil …, 2024 - Springer
Fiber optic sensors (FOS) in long-term structural health monitoring (SHM) have drawn
significant attention due to their pivotal role in detecting defects and measuring structural …

Achieving precise multiparameter measurements with distributed optical fiber sensor using wavelength diversity and deep neural networks

N Lalam, S Bukka, H Bhatta, M Buric… - Communications …, 2024 - nature.com
The development of advanced distributed optical fiber sensing systems that are capable of
performing accurate and spatially resolved multiparameter measurements is of great interest …

[HTML][HTML] The Impact of Liquids and Saturated Salt Solutions on Polymer-Coated Fiber Optic Sensors for Distributed Strain and Temperature Measurement

M Weisbrich, D Messerer, F Holzer, U Trommler… - Sensors, 2024 - mdpi.com
The application of distributed fiber optic strain and temperature measurement can be utilized
to address a multitude of measurement tasks across a diverse range of fields, particularly in …

[HTML][HTML] An Image Processing-Based Correlation Method for Improving the Characteristics of Brillouin Frequency Shift Extraction in Distributed Fiber Optic Sensors

Y Konstantinov, A Krivosheev, F Barkov - Algorithms, 2024 - mdpi.com
This paper demonstrates how the processing of Brillouin gain spectra (BGS) by two-
dimensional correlation methods improves the accuracy of Brillouin frequency shift (BFS) …

[HTML][HTML] Thermal compensation of monolithic distributed fibre optic sensors: From the lab to the field

Ł Bednarski, R Sieńko, T Howiacki, K Badura - Measurement, 2024 - Elsevier
Distributed fibre optic sensing (DFOS) is gaining popularity as a diagnostic solution for short-
term non-destructive testing (NDT) and long-term structural health monitoring (SHM) …

Temporal Forecasting of Distributed Temperature Sensing in a Thermal Hydraulic System with Machine Learning and Statistical Models

S Pantopoulou, M Weathered, D Lisowski… - IEEE …, 2025 - ieeexplore.ieee.org
We benchmark performance of long-short term memory (LSTM) network ML model and
Autoregressive Integrated Moving Average (ARIMA) statistical model in temporal forecasting …