Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Ángel Sapena-Bañó"'
Publikováno v:
Sensors, Vol 23, Iss 19, p 8196 (2023)
Induction machines (IMs) play a critical role in various industrial processes but are susceptible to degenerative failures, such as broken rotor bars. Effective diagnostic techniques are essential in addressing these issues. In this study, we propose
Externí odkaz:
https://doaj.org/article/68745863f02544f3a7c9f6ddfe45e49f
Publikováno v:
International Journal of Electrical and Computer Engineering Research. 3:7-12
Diagnosis of induction machines based on deep learning models is becoming a trend in maintenance systems of modern industry. The implementation of such systems allows low-cost industrial monitoring due to the characteristics of hardware and software.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c28180fe8273cf3035743f7b81ac10c
https://doi.org/10.53375/ijecer.2023.319
https://doi.org/10.53375/ijecer.2023.319
Publikováno v:
Knowledge, Vol 4, Iss 3, Pp 382-396 (2024)
Undergraduate courses in electrical machines often include an introduction to the air gap magnetic field as a basic element in the energy conversion process. The students must learn the main properties of the field produced by basic winding configura
Externí odkaz:
https://doaj.org/article/4b2673451c2b4439b496408019051ffd
Publikováno v:
Knowledge, Vol 4, Iss 2, Pp 194-212 (2024)
This contribution describes the change in methodology introduced in the subject of electrical technology within the industrial technologies engineering degree at Escuela Técnica Superior de Ingeniería Industrial, Universitat Politècnica de Valènc
Externí odkaz:
https://doaj.org/article/77f7bf62843a48d39bf5f2330fbb51a2
Autor:
Estefania Artigao, Angel Sapena-Bano, Andres Honrubia-Escribano, Javier Martinez-Roman, Ruben Puche-Panadero, Emilio Gomez-Lazaro
Publikováno v:
IEEE Access, Vol 7, Pp 17896-17906 (2019)
While wind turbine (WT) power capacities continue to increase and new offshore developments are being deployed, operation and maintenance (O&M) costs continue to rise, becoming the center of attention in the wind energy sector. The electric generator
Externí odkaz:
https://doaj.org/article/bf40eb9ebe014703bfc1a444b8cd6ce7
Autor:
Carla Terron-Santiago, Javier Martinez-Roman, Ruben Puche-Panadero, Angel Sapena-Bano, Jordi Burriel-Valencia, Manuel Pineda-Sanchez
Publikováno v:
Sensors, Vol 22, Iss 9, p 3150 (2022)
Induction machines (IMs) are a critical component of many industrial processes, and their failure can cause large economic losses. Condition-based maintenance systems (CBMs) that are capable of detecting their failures at an incipient stage can reduc
Externí odkaz:
https://doaj.org/article/0d1be6ad6f284f1eade8dba50896e406
Publikováno v:
Sensors, Vol 21, Iss 21, p 6963 (2021)
Since it is not efficient to physically study many machine failures, models of faulty induction machines (IMs) have attracted a rising interest. These models must be accurate enough to include fault effects and must be computed with relatively low re
Externí odkaz:
https://doaj.org/article/0f98acd325dd4ad8b9caf67cb9f0bc8b
Autor:
Javier Martinez-Roman, Ruben Puche-Panadero, Angel Sapena-Bano, Carla Terron-Santiago, Jordi Burriel-Valencia, Manuel Pineda-Sanchez
Publikováno v:
Sensors, Vol 21, Iss 15, p 5076 (2021)
Induction machines (IMs) are one of the main sources of mechanical power in many industrial processes, especially squirrel cage IMs (SCIMs), due to their robustness and reliability. Their sudden stoppage due to undetected faults may cause costly prod
Externí odkaz:
https://doaj.org/article/e4fc219f58ac440782367ddf6b694a6b
Publikováno v:
Sensors, Vol 21, Iss 14, p 4855 (2021)
Over the years, induction machines (IMs) have become key components in industry applications as mechanical power sources (working as motors) as well as electrical power sources (working as generators). Unexpected breakdowns in these components can le
Externí odkaz:
https://doaj.org/article/12c4143301af44ccacaa8621945b4493
Fault Diagnosis in the Slip–Frequency Plane of Induction Machines Working in Time-Varying Conditions
Autor:
Ruben Puche-Panadero, Javier Martinez-Roman, Angel Sapena-Bano, Jordi Burriel-Valencia, Martin Riera-Guasp
Publikováno v:
Sensors, Vol 20, Iss 12, p 3398 (2020)
Motor current signature analysis (MCSA) is a fault diagnosis method for induction machines (IMs) that has attracted wide industrial interest in recent years. It is based on the detection of the characteristic fault signatures that arise in the curren
Externí odkaz:
https://doaj.org/article/b85814c98238496f8fd6600802607782