Zobrazeno 1 - 10
of 2 471
pro vyhledávání: '"Complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN)"'
Autor:
Babouri, Mohamed Khemissi1,2 (AUTHOR) babouri_bmk@yahoo.fr, Ouelaa, Nouredine1 (AUTHOR), Kebabsa, Tarek1,3 (AUTHOR), Djebala, Abderrazek1 (AUTHOR)
Publikováno v:
International Journal of Advanced Manufacturing Technology. Jan2021, Vol. 112 Issue 9/10, p2657-2681. 25p. 7 Color Photographs, 1 Illustration, 4 Diagrams, 7 Charts, 21 Graphs.
Publikováno v:
Science Technology & Engineering. 2024, Vol. 24 Issue 7, p2759-2766. 8p.
Publikováno v:
Science Technology & Engineering. 2023, Vol. 23 Issue 4, p1557-1564. 8p.
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 112:2657-2681
The early detection of defects in rotating machines before their severity reaches an intolerable threshold has become the priority of the maintenance crew, hence the need to apply or even adapt new reliable methods that can meet this requirement. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9590c3a0c6f5a77548fd04c83452a7f
https://doi.org/10.1007/s00170-020-06496-z
https://doi.org/10.1007/s00170-020-06496-z
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 6, Pp 806-818 (2024)
Aimed at the intermittency and fluctuation of photovoltaic output power, a short-term interval prediction model of photovoltaic power is proposed. First, the model uses the complete ensemble empirical mode decomposition of adaptive noise (CEEMDAN) to
Externí odkaz:
https://doaj.org/article/6bc936023e594892888cd4b0317dd702
Publikováno v:
电力工程技术, Vol 43, Iss 3, Pp 192-200 (2024)
Accurately predicting the concentration trend of dissolved gas in oil has a positive effect on the evaluation of transformer status and life assessment. In order to improve the accuracy of dissolved gas in oil prediction, a dissolved gas in oil predi
Externí odkaz:
https://doaj.org/article/9e1752c2d35b41129988efe12042cfdd
Publikováno v:
电力工程技术, Vol 43, Iss 3, Pp 217-225 (2024)
Transformer live fault diagnosis is of great significance to ensure the safe and stable operation of power transformers. In response to the problem of complex working environment and limited fault types characterized by a single parameter, a method b
Externí odkaz:
https://doaj.org/article/ec4951d553c447529cdb588cbbbb417a
Publikováno v:
Insight: Non-Destructive Testing & Condition Monitoring. Dec2023, Vol. 65 Issue 12, p666-673. 9p.
Publikováno v:
Journal of Mechanical & Electrical Engineering. Aug2024, Vol. 41 Issue 8, p1423-1430. 8p.
Publikováno v:
Global Energy Interconnection, Vol 6, Iss 5, Pp 517-529 (2023)
Randomness and fluctuations in wind power output may cause changes in important parameters (e.g., grid frequency and voltage), which in turn affect the stable operation of a power system. However, owing to external factors (such as weather), there ar
Externí odkaz:
https://doaj.org/article/12b6fa54ffc34ab2bfcdffea900f0b11