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Open AccessArticle
Start-Up and Steady-State Regimes Automatic Separation in Induction Motors by Means of Short-Time Statistics
by
Jonathan Cureño-Osornio
Jonathan Cureño-Osornio 1,
Carlos A. Alvarez-Ugalde
Carlos A. Alvarez-Ugalde 1,
Israel Zamudio-Ramirez
Israel Zamudio-Ramirez 1,2,
Roque A. Osornio-Rios
Roque A. Osornio-Rios 1,
Larisa Dunai
Larisa Dunai 3,
Dinu Turcanu
Dinu Turcanu
Dinu Țurcanu is Deputy Rector for Digitalization and Associate Professor at Technical University of [...]
Dinu Țurcanu is Deputy Rector for Digitalization and Associate Professor at Technical University of Moldova (https://utm.md/) and an engineer and cybersecurity expert with over two decades of experience in IT and systems engineering. Dr. Țurcanu holds a Ph.D. in Engineering and has multiple Cisco, Mikrotik and HPE certifications. His research interests in ICT span cybersecurity, network engineering, and digital transformation in higher education, having published more than 80 scientific works and patents in engineering. With 20 years of experience in ICT and 12 years in administration and management, Dr. Țurcanu has consistently demonstrated his ability to bridge complex technical concepts with practical applications. His work has contributed significantly to advancing network security and IT infrastructure in both academic and professional settings.
4 and
Jose A. Antonino-Daviu
Jose A. Antonino-Daviu 2,*
1
Engineering Faculty, San Juan del Río Campus, Autonomous University of Querétaro, Av. Río Moctezuma 249, San Juan del Río 76807, Querétaro, Mexico
2
Instituto Tecnológico de la Energía, Technical University of Valencia (UPV), Camino de Vera s/n, 46022 Valencia, Spain
3
Department of Graphic Engineering, Technical University of Valencia (UPV), Camino de Vera s/n, 46022 Valencia, Spain
4
Faculty of Electronics and Telecommunications, Technical University of Moldova (UTM), MD-2004 Chisinau, Moldova
*
Author to whom correspondence should be addressed.
Electronics 2024, 13(19), 3850; https://doi.org/10.3390/electronics13193850 (registering DOI)
Submission received: 21 August 2024
/
Revised: 14 September 2024
/
Accepted: 26 September 2024
/
Published: 28 September 2024
Abstract
Induction motors are widely used machines in a variety of applications as primary components for generating rotary motion. This is mainly due to their high efficiency, robustness, and ease of control. Despite their high robustness, these machines can experience failures throughout their lifespan due to various mechanical, electrical, and environmental factors. To prevent irreversible failures and all the implications and costs associated with breakdowns, various methodologies have been developed over the years. Many of these methodologies have focused on analyzing various physical quantities, either during start-up transients or during steady-state operations. This involves the use of specific techniques depending on the focus of the methodology (start-up transients or steady-state) to obtain optimal results. In this regard, it is of great importance to develop methods capable of separating and detecting the start-up transient of the motor from the steady state. This will enable the development of automatic diagnostic methodologies focused on the specific operating state of the motor. This paper proposes a methodology for the automatic detection of start-up transients in induction motors by using magnetic stray flux signals and processing by means of statistical indicators in time-sliding windows, the calculation of variances with a proposed method, and obtaining optimal values for the design parameters by using a Particle Swarm Optimization (PSO). The results obtained demonstrate the effectiveness of the proposed method for the start-up and steady-state regimes automatic separation, which is validated on a 0.746 kW induction motor supplied by a variable frequency drive (VFD).
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MDPI and ACS Style
Cureño-Osornio, J.; Alvarez-Ugalde, C.A.; Zamudio-Ramirez, I.; Osornio-Rios, R.A.; Dunai, L.; Turcanu, D.; Antonino-Daviu, J.A.
Start-Up and Steady-State Regimes Automatic Separation in Induction Motors by Means of Short-Time Statistics. Electronics 2024, 13, 3850.
https://doi.org/10.3390/electronics13193850
AMA Style
Cureño-Osornio J, Alvarez-Ugalde CA, Zamudio-Ramirez I, Osornio-Rios RA, Dunai L, Turcanu D, Antonino-Daviu JA.
Start-Up and Steady-State Regimes Automatic Separation in Induction Motors by Means of Short-Time Statistics. Electronics. 2024; 13(19):3850.
https://doi.org/10.3390/electronics13193850
Chicago/Turabian Style
Cureño-Osornio, Jonathan, Carlos A. Alvarez-Ugalde, Israel Zamudio-Ramirez, Roque A. Osornio-Rios, Larisa Dunai, Dinu Turcanu, and Jose A. Antonino-Daviu.
2024. "Start-Up and Steady-State Regimes Automatic Separation in Induction Motors by Means of Short-Time Statistics" Electronics 13, no. 19: 3850.
https://doi.org/10.3390/electronics13193850
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