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Volume 10
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10.3390/data10040044
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Data Descriptor

Experimental Dataset for Fiber Optic Specklegram Sensing Under Thermal Conditions and Use in a Deep Learning Interrogation Scheme

by
Francisco J. Vélez
1,2,*,
Juan D. Arango
3,
Víctor H. Aristizábal
1,
Carlos Trujillo
2 and
Jorge A. Herrera-Ramírez
3
1
Facultad de Ingeniería, Universidad Cooperativa de Colombia, Medellín 050012, Colombia
2
School of Applied Sciences and Engineering, EAFIT University, Medellín 050022, Colombia
3
Facultad de Ciencias Exactas y Aplicadas, Instituto Tecnológico Metropolitano, Medellín 050013, Colombia
*
Author to whom correspondence should be addressed.
Data 2025, 10(4), 44; https://doi.org/10.3390/data10040044
Submission received: 2 February 2025 / Revised: 24 February 2025 / Accepted: 3 March 2025 / Published: 26 March 2025
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Abstract

This dataset comprises specklegram images acquired from a multimode optical fiber subjected to varying thermal conditions. Designed for training neural networks focused on developing Fiber Optic Specklegram Sensors (FSSs), these experimental data enable the detection of changes in speckle patterns corresponding to applied temperature variations. The dataset includes 24,528 images captured over a temperature range from 25 °C to 200 °C, with incremental steps of approximately 0.175 °C. Key acquisition parameters include a wavelength of 633 nm, a sensing zone length of 20 mm, and a multimode fiber with a core diameter of 62.5 μm. This dataset supports developing and validating temperature-sensing models using fiber optic technology and can facilitate benchmarking against other experimental or synthetic datasets. Finally, an implementation is presented for utilizing the dataset in a deep learning interrogation scheme.
Keywords: optical sensors; specklegram; fiber optic sensing; deep learning; temperature measurement optical sensors; specklegram; fiber optic sensing; deep learning; temperature measurement

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MDPI and ACS Style

Vélez, F.J.; Arango, J.D.; Aristizábal, V.H.; Trujillo, C.; Herrera-Ramírez, J.A. Experimental Dataset for Fiber Optic Specklegram Sensing Under Thermal Conditions and Use in a Deep Learning Interrogation Scheme. Data 2025, 10, 44. https://doi.org/10.3390/data10040044

AMA Style

Vélez FJ, Arango JD, Aristizábal VH, Trujillo C, Herrera-Ramírez JA. Experimental Dataset for Fiber Optic Specklegram Sensing Under Thermal Conditions and Use in a Deep Learning Interrogation Scheme. Data. 2025; 10(4):44. https://doi.org/10.3390/data10040044

Chicago/Turabian Style

Vélez, Francisco J., Juan D. Arango, Víctor H. Aristizábal, Carlos Trujillo, and Jorge A. Herrera-Ramírez. 2025. "Experimental Dataset for Fiber Optic Specklegram Sensing Under Thermal Conditions and Use in a Deep Learning Interrogation Scheme" Data 10, no. 4: 44. https://doi.org/10.3390/data10040044

APA Style

Vélez, F. J., Arango, J. D., Aristizábal, V. H., Trujillo, C., & Herrera-Ramírez, J. A. (2025). Experimental Dataset for Fiber Optic Specklegram Sensing Under Thermal Conditions and Use in a Deep Learning Interrogation Scheme. Data, 10(4), 44. https://doi.org/10.3390/data10040044

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