Zobrazeno 1 - 10
of 1 597
pro vyhledávání: '"GAF"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract As one of the three major outdoor components of the railroad signal system, the track circuit plays an important role in ensuring the safety and efficiency of train operation. Therefore, when a fault occurs, the cause of the fault needs to b
Externí odkaz:
https://doaj.org/article/0ab4bcdb83f84feab691ff84b45656bb
Publikováno v:
IEEE Access, Vol 12, Pp 81853-81866 (2024)
The frequent occurrence of cable early faults can lead to permanent failure of cables, making the power grid damaged and unable to work normally. To avoid the cable early faults causing great damage to the power grid operation, in this paper, we prop
Externí odkaz:
https://doaj.org/article/fa7eaa4142574a609c5328db9f6e54c1
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 522-531 (2023)
Bearing fault diagnosis is very important for the security and efficiency of electric machines. In recent years, the newly emerging deep learning methods have risen bearing fault diagnosis as a research hotspot again. To achieve better performance an
Externí odkaz:
https://doaj.org/article/d76d5454f3374a258448110d946542bb
Publikováno v:
Black Book - Retail Monthly (May 1993). 1993, p95-103. 8p. 3 Charts, 3 Graphs.
Publikováno v:
Revista de Gestão, 2022, Vol. 30, Issue 1, pp. 2-17.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/REGE-03-2020-0016
Autor:
Gannes, Stuart, Campo, Joan W.
Publikováno v:
Fortune. 2/4/1985, Vol. 111 Issue 3, pN.PAG. 4p.
Publikováno v:
REGE Revista de Gestão, Vol 30, Iss 1, Pp 2-17 (2023)
Purpose – This article results from a survey on national and international research articles published from 1947 to 2018 that aimed to produce a theoretical framework and description of education governance. Design/methodology/approach – The stud
Externí odkaz:
https://doaj.org/article/33566c849c9546ffa5e6141c86c6e201
Publikováno v:
IEEE Access, Vol 11, Pp 26099-26113 (2023)
In order to apply the advantages of image recognition for fault diagnosis using convolutional neural network (CNN), it is necessary to convert one-dimensional (1D) signal data into two-dimensional (2D) images. Traditional signal-based conversion meth
Externí odkaz:
https://doaj.org/article/8b992b2c82814bd58bb4df087f0ace82
Autor:
Moukheiber, Zina
Publikováno v:
Forbes. 10/24/1994, Vol. 154 Issue 10, p42-43. 2p. 1 Color Photograph.
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