Presentation + Paper
11 March 2024 Distributed temperature sensing for special induction motor applied in harsh environment
Paulo H. R. Mazzo, Gabriel A. Torelli, Uilian J. Dreyer, Jessé Pelegrin, Henrique Stel, Luiz C. T. Silva, Gabriel A. Romero, Rigoberto E. M. Morales, Jean C. C. da Silva
Author Affiliations +
Proceedings Volume 12893, Photonic Instrumentation Engineering XI; 128930G (2024) https://doi.org/10.1117/12.2692062
Event: SPIE OPTO, 2024, San Francisco, California, United States
Abstract
This paper presents a study and development on the thermal mapping of a Three-phase Induction Motor for harsh environments application. These machines’ exceptional performance and precise speed control make them essential equipment in multiple industrial processes, such as Artificial Lift, which integrates with a multistage centrifugal pump to elevate fluids from the reservoirs to the surface. Increased motor speeds for higher production requirements can result in temperature rise, damaging the stator winding. Employing the Raman Distributed Temperature Sensing System (RDTS), we generate a comprehensive heat distribution map of the motor. ANSYS Motor-CAD was applied for computational simulations to perform steady-state thermal analysis, giving an overview of heat transfer among internal components and thermal limits for the instrumented motor. This preliminary study presents a series of experimental tests to evaluate the advantages of fiber optic temperature sensing in harsh environments, emphasizing its significance in improving electrical machines’ performance and reliability.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Paulo H. R. Mazzo, Gabriel A. Torelli, Uilian J. Dreyer, Jessé Pelegrin, Henrique Stel, Luiz C. T. Silva, Gabriel A. Romero, Rigoberto E. M. Morales, and Jean C. C. da Silva "Distributed temperature sensing for special induction motor applied in harsh environment", Proc. SPIE 12893, Photonic Instrumentation Engineering XI, 128930G (11 March 2024); https://doi.org/10.1117/12.2692062
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KEYWORDS
Optical fibers

Temperature distribution

Simulations

Temperature metrology

Thermography

Environmental sensing

Finite element methods

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