Machine learning approaches in Brillouin distributed fiber optic sensors

C Karapanagiotis, K Krebber - Sensors, 2023 - mdpi.com
This paper presents reported machine learning approaches in the field of Brillouin
distributed fiber optic sensors (DFOSs). The increasing popularity of Brillouin DFOSs stems …

Embedded six-dof force–torque sensor for soft robots with learning-based calibration

T Torkaman, M Roshanfar, J Dargahi… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Soft robots typically exhibit large deformation that makes integrating rigid sensors
cumbersome. Especially for soft surgical robots, direct sensor-based feedback is required. In …

Evaluating the performance of compressive sensing in fiber-optic distributed Brillouin sensors

F Díaz, MA Soto - Journal of Lightwave Technology, 2024 - opg.optica.org
With the aim of speeding up the measurement time of Brillouin distributed sensors, the use
of compressive sensing (CS) has been recently proposed to reconstruct the Brillouin gain …

Vibration Signal Reconstruction Based on K-SVD and Compressed Sensing in Wireless Sensor Network

Q Huang, Z Li, Y Han, Y Zhang… - 2023 China Automation …, 2023 - ieeexplore.ieee.org
In order to tackle the significant shortage of storage and the extensive latency in transmitting
substantial vibration data in Wireless Sensor Networks (WSN). A refined method that …

Performance Analysis of Compressive Sensing Applied to Distributed Brillouin Sensing

F Diaz, MA Soto - Optical Fiber Sensors, 2023 - opg.optica.org
Conference title, upper and lower case, bolded, 18 point type, centered Page 1 Performance
Analysis of Compressive Sensing Applied to Distributed Brillouin Sensing Felipe Diaz and …

Power User Behavior and Load Forecasting Based on Big Data

J Song, B Li, H Li - 2024 4th International Signal Processing …, 2024 - ieeexplore.ieee.org
With the improvement of power system intelligence and the development of power collection
technology, a huge amount of power data is generated. This data includes the number of …

Brillouin gain spectra super-resolution reconstruction based on learnable interpolation

J Chen, X Ma, K Yu, Z Zhang, B Zhu… - … Conference (CITA 2024 …, 2025 - spiedigitallibrary.org
Facing the limitations of traditional Brillouin Optical Time Domain Analysis (BOTDA) in terms
of response speed and sensing accuracy, we propose a Brillouin Gain Spectrum (BGS) …