Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Uriel Calderon-Uribe"'
Publikováno v:
Machines, Vol 12, Iss 8, p 497 (2024)
The development of diagnostic systems for rotating machines such as induction motors (IMs) is a task of utmost importance for the industrial sector. Reliable diagnostic systems allow for the accurate detection of different faults. Different methods b
Externí odkaz:
https://doaj.org/article/bc15f011cb1c4bf1ad4c24e801863822
Publikováno v:
Applied Sciences, Vol 13, Iss 10, p 6137 (2023)
The detection of faults in induction motors has been one of the main challenges to the industry in recent years. An effective fault detection method is fundamental to ensure operational security and productivity. Different models for intelligent faul
Externí odkaz:
https://doaj.org/article/d0ba339e291248cc91c8def138357312
Publikováno v:
Sensors, Vol 22, Iss 7, p 2653 (2022)
Research has shown that longitudinal chromatic aberration (LCA) of the human eye is generated across all of the eye’s optical surfaces. However, it may not be necessary to measure the LCA from the first surface of the cornea to the retina, as it is
Externí odkaz:
https://doaj.org/article/27de3e6bcd3e44f0b1c7954e6ab46872
Autor:
Carlos Rodriguez-Donate, Eduardo Cabal-Yepez, Rocio A. Lizarraga-Morales, Uriel Calderon-Uribe
Publikováno v:
Advances in Computational Intelligence ISBN: 9783319624334
MICAI (1)
MICAI (1)
The most popular rotating machine in the industry is the induction motor, and the harmful states on such motors may have consequences in costs, product quality, and safety. In this paper, a methodology that allows to detect faults in induction motors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cbd767d18cb9b91f20d744bf25b4415
https://doi.org/10.1007/978-3-319-62434-1_23
https://doi.org/10.1007/978-3-319-62434-1_23
