2026-04-20T09:40:44Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/95172024-08-01T00:05:27Zcom_10259_4219com_10259_5086com_10259_2604col_10259_4220
Repositorio Institucional de la Universidad de Burgos
author
Alvarado-Hernandez, Alvaro Ivan
author
Checa Cruz, David
author
Osornio-Ríos, Roque Alfredo
author
Bustillo Iglesias, Andrés
author
Antonino Daviu, Jose A.
2024-07-31T10:09:06Z
2024-07-31T10:09:06Z
2024-06-22
2079-9292
http://hdl.handle.net/10259/9517
10.3390/electronics13132447
2079-9292
Kinematic chains are crucial in numerous industrial settings, playing a key role in various processes. Over recent years, several methods have been developed to monitor and maintain these systems effectively. One notable method is the analysis of infrared thermal images, which serves as a non-invasive and effective approach for identifying various electromechanical issues. Additionally, Virtual Reality (VR) is a burgeoning technology that, despite its limited use in industrial contexts, offers a cost-effective and accessible solution for the training and education of industrial workers on specialized engineering subjects. Nevertheless, most virtual environments are based on numerical simulations. This paper presents the design and development of a Virtual Reality training module for the detection of fourteen electromechanical fault cases in a kinematic chain. The VR training tool developed is based on actual thermographic data derived from experiments conducted on an authentic kinematic chain. During these experiments, thermal images were captured using an low-cost infrared sensor. The thermographic images were processed by calculating the histogram and fifteen statistical indicators, which served to differentiate fault cases in the VR application. A comprehensive evaluation was carried out with a group of vocational students specialized in electrical and automation installations to determine the effectiveness and practicality of the VR training module.
eng
Atribución 4.0 Internacional
Digital image processing
Fault detection
Induction motors
Infrared imaging
Virtual reality
A Virtual Reality Environment Based on Infrared Thermography for the Detection of Multiple Faults in Kinematic Chains
info:eu-repo/semantics/article
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URL
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Alvarado-electronics_2024.pdf