학술논문

Design and Development of Virtual Reality Application Based on Infrared Thermography for the Detection of Multiple Faults in Kinematic Chains
Document Type
Conference
Source
2022 International Conference on Electrical Machines (ICEM) Electrical Machines (ICEM), 2022 International Conference on. :1569-1575 Sep, 2022
Subject
Engineering Profession
Power, Energy and Industry Applications
Signal Processing and Analysis
Training
Vibrations
Histograms
Induction motors
Fault detection
Virtual environments
Rotors
digital image processing
fault detection
induction motors
infrared imaging
virtual reality
Language
Abstract
Kinematic chains have a variety of applications, taking a fundamental role in many industrial processes. Given the importance of kinematic chains, different techniques for monitoring and maintaining these devices have been documented over the last years. Among those, the analysis of infrared thermal images has proven to be a non-invasive and efficient method for the detection of multiple electromechanical faults. Virtual Reality (VR) is a recent technology that has not been used very often in industrial applications, nonetheless, VR can be an accessible and cheap way to assist in the training and capacitation process of industrial personal on specific engineering topics. This paper presents the design and development of a virtual environment for the detection of seven electromechanical faults in a kinematic chain. The designed VR tool is based on real thermographic data from experiments performed on a real kinematic chain where thermal images were acquired with a low-cost infrared sensor.