Zobrazeno 1 - 9 of 9 pro vyhledávání: '"Jose R. Huerta-Rosales"'
1
Akademický článek
Time-Frequency Analysis and Neural Networks for Detecting Short-Circuited Turns in Transformers in Both Transient and Steady-State Regimes Using Vibration Signals
Autor: David Granados-Lieberman, Jose R. Huerta-Rosales, Jose L. Gonzalez-Cordoba, Juan P. Amezquita-Sanchez, Martin Valtierra-Rodriguez, David Camarena-Martinez
Publikováno v: Applied Sciences, Vol 13, Iss 22, p 12218 (2023)
Transformers are vital elements in electrical networks, but they are prone to various faults throughout their service life. Among these, a winding short-circuit fault is of particular concern to researchers, as it is a crucial and vulnerable componen
Externí odkaz: https://doaj.org/article/f696c74e3462456f94aded0389c335a3
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2
Akademický článek
Contrast Estimation in Vibroacoustic Signals for Diagnosing Early Faults of Short-Circuited Turns in Transformers under Different Load Conditions
Autor: Jose R. Huerta-Rosales, David Granados-Lieberman, Juan P. Amezquita-Sanchez, Arturo Garcia-Perez, Maximiliano Bueno-Lopez, Martin Valtierra-Rodriguez
Publikováno v: Energies, Vol 15, Iss 22, p 8508 (2022)
The transformer is one of the most important electrical machines in electrical systems. Its proper operation is fundamental for the distribution and transmission of electrical energy. During its service life, it is under continuous electrical and mec
Externí odkaz: https://doaj.org/article/af5aca2d5edb49eea932be210bfd63ba
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3
Akademický článek
Short-Circuited Turn Fault Diagnosis in Transformers by Using Vibration Signals, Statistical Time Features, and Support Vector Machines on FPGA
Autor: Jose R. Huerta-Rosales, David Granados-Lieberman, Arturo Garcia-Perez, David Camarena-Martinez, Juan P. Amezquita-Sanchez, Martin Valtierra-Rodriguez
Publikováno v: Sensors, Vol 21, Iss 11, p 3598 (2021)
One of the most critical devices in an electrical system is the transformer. It is continuously under different electrical and mechanical stresses that can produce failures in its components and other electrical network devices. The short-circuited t
Externí odkaz: https://doaj.org/article/7e525beec1de49b9b7d541b5e5941d52
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4
Akademický článek
Vibration Signal Processing-Based Detection of Short-Circuited Turns in Transformers: A Nonlinear Mode Decomposition Approach
Autor: Jose R. Huerta-Rosales, David Granados-Lieberman, Juan P. Amezquita-Sanchez, David Camarena-Martinez, Martin Valtierra-Rodriguez
Publikováno v: Mathematics, Vol 8, Iss 4, p 575 (2020)
Transformers are vital and indispensable elements in electrical systems, and therefore, their correct operation is fundamental; despite being robust electrical machines, they are susceptible to present different types of faults during their service l
Externí odkaz: https://doaj.org/article/6c128075393143eda19e588447fe7b9e
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6
Automatic Knee Injury Identification through Thermal Image Processing and Convolutional Neural Networks
Autor: Omar Trejo-Chavez, Juan P. Amezquita-Sanchez, Jose R. Huerta-Rosales, Luis A. Morales-Hernandez, Irving A. Cruz-Albarran, Martin Valtierra-Rodriguez
Publikováno v: Electronics; Volume 11; Issue 23; Pages: 3987
Knee injury is a common health problem that affects both people who practice sports and those who do not do it. The high prevalence of knee injuries produces a considerable impact on the health-related life quality of patients. For this reason, it is
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3b407ace6ab854c916e7370a2ad42c8
https://doi.org/10.3390/electronics11233987
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8
Short-Circuited Turn Fault Diagnosis in Transformers by Using Vibration Signals, Statistical Time Features, and Support Vector Machines on FPGA
Autor: David Granados-Lieberman, Martin Valtierra-Rodriguez, David Camarena-Martinez, Arturo Garcia-Perez, Juan P. Amezquita-Sanchez, Jose R. Huerta-Rosales
Publikováno v: Sensors, Vol 21, Iss 3598, p 3598 (2021)
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 11
One of the most critical devices in an electrical system is the transformer. It is continuously under different electrical and mechanical stresses that can produce failures in its components and other electrical network devices. The short-circuited t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02547f3a18d9f5507e13946e8ef381a7
https://www.mdpi.com/1424-8220/21/11/3598
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9
Vibration Signal Processing-Based Detection of Short-Circuited Turns in Transformers: A Nonlinear Mode Decomposition Approach
Autor: Martin Valtierra-Rodriguez, Juan P. Amezquita-Sanchez, David Granados-Lieberman, David Camarena-Martinez, Jose R. Huerta-Rosales
Publikováno v: Mathematics, Vol 8, Iss 575, p 575 (2020)
Mathematics
Volume 8
Issue 4
Transformers are vital and indispensable elements in electrical systems, and therefore, their correct operation is fundamental
despite being robust electrical machines, they are susceptible to present different types of faults during their servi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::014e9ea9b0ceb5374bad62bfeac6ffaf
https://doi.org/10.3390/math8040575
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