Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Jun-Shin Lee"'
Publikováno v:
Energies, Vol 13, Iss 23, p 6176 (2020)
This study presents a simplified analysis technique capable of predicting the dynamic behavior of a tripod suction pile subjected to a horizontal load. The first natural frequency of the system, horizontal displacement, and allowable rotation angle a
Externí odkaz:
https://doaj.org/article/9b7b4c76be8c4cc8be899f5dffd2ee9b
Publikováno v:
Experimental Techniques. 44:175-186
In recent years, stringent environmental regulations for air pollution have led to increased demand for liquefied natural gas (LNG). Therefore, the demand for the design and construction of LNG-fueled vessels has also increased. One of the most impor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b15e947925a0202d9a97b1f1f261acc0
https://doi.org/10.1007/s40799-019-00321-3
https://doi.org/10.1007/s40799-019-00321-3
Publikováno v:
Energies, Vol 13, Iss 6176, p 6176 (2020)
Energies
Volume 13
Issue 23
Energies
Volume 13
Issue 23
This study presents a simplified analysis technique capable of predicting the dynamic behavior of a tripod suction pile subjected to a horizontal load. The first natural frequency of the system, horizontal displacement, and allowable rotation angle a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbbfd84c78dd985eb1ca6224e65305f5
https://www.mdpi.com/1996-1073/13/23/6176
https://www.mdpi.com/1996-1073/13/23/6176
Publikováno v:
Journal of Wind Energy. 8:55-62
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af920630279e6b833a54bd486c77bba5
https://doi.org/10.33519/kwea.2017.8.1.007
https://doi.org/10.33519/kwea.2017.8.1.007
Publikováno v:
Transactions of the Korean Society for Noise and Vibration Engineering. 26:469-474
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd66d887c60cd6b9f914c05e9be93514
https://doi.org/10.5050/ksnve.2016.26.4.469
https://doi.org/10.5050/ksnve.2016.26.4.469
Publikováno v:
Journal of the Korean Solar Energy Society. 36:27-37
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2bfddd100857fe55a4d6ed5b8c7661f
https://doi.org/10.7836/kses.2016.36.1.027
https://doi.org/10.7836/kses.2016.36.1.027
Publikováno v:
Renewable Energy. 79:150-160
As the capacity of wind turbines has increased, the loads on crucial components such as a gearbox, a generator, and blades are significantly increasing. An intelligent online monitoring system is indispensable to protect the excessive load on core co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aec19be2d7dded560bedb45d215251e9
https://doi.org/10.1016/j.renene.2014.10.002
https://doi.org/10.1016/j.renene.2014.10.002
Publikováno v:
Renewable Energy. 79:209-218
To simplify signal analysis on wind turbine blades and enable their efficient monitoring, this paper presents a novel method of transforming blade moment signals on a horizontal axis 3-blade wind turbine. Instead of processing 3-blade moment signals
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2038f8c0691c74b6c0c4ba35597a5719
https://doi.org/10.1016/j.renene.2014.11.030
https://doi.org/10.1016/j.renene.2014.11.030
Publikováno v:
IEEE Transactions on Energy Conversion. 29:119-128
A novel power curve monitoring method for wind turbines was developed to prevent a turbine failure in a wind farm. Compared with the existing methods, this algorithm automatically calculates the power curve limits for power curve monitoring, even whe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd4f711cee58b337bad52c23dad6f96b
https://doi.org/10.1109/tec.2013.2294893
https://doi.org/10.1109/tec.2013.2294893
Autor:
Bogdan I. Epureanu, Jun Shin Lee, Ki Yong Oh, Joon-Young Park, Jae-Kyung Lee, Hyung Joon Bang
Publikováno v:
Renewable Energy. 62:379-387
As the use of wind power has steadily increased, the importance of a condition monitoring and fault diagnosis system is being emphasized to maximize the availability and reliability of wind turbines. To develop novel algorithms for fault detection an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cb792b5fea221500b97bc6229dabb2f
https://doi.org/10.1016/j.renene.2013.06.026
https://doi.org/10.1016/j.renene.2013.06.026