Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Fouad Tachi"'
Publikováno v:
Journal of Advanced Engineering and Computation, Vol 2, Iss 1, Pp 9-17 (2018)
Nowadays, new information technologies produce new methodological approaches attempting to extract not just valid and reliable information, but more generally a particular technical and professional expertise to support the decision making. A Bayesia
Externí odkaz:
https://doaj.org/article/585a397515ab43458097bbd04da93ffd
Autor:
Abdelaziz Lakehal, Fouad Tachi
Publikováno v:
Measurement + Control, Vol 50 (2017)
Dissolved gas analysis of transformer insulating oil is considered the best indicator of a transformer’s overall condition and is most widely used. In this study, a Bayesian network was developed to predict failures of electrical transformers. The
Externí odkaz:
https://doaj.org/article/b2663a4de0644c9da3fb113ba6fc6d5f
Publikováno v:
Journal of Advanced Engineering and Computation, Vol 2, Iss 1, Pp 9-17 (2018)
Nowadays, new information technologies produce new methodological approaches attempting to extract not just valid and reliable information, but more generally a particular technical and professional expertise to support the decision making. A Bayesia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c203816601fce9bfa393791dd587910d
http://jaec.vn/index.php/JAEC/article/view/74
http://jaec.vn/index.php/JAEC/article/view/74
Autor:
Fouad Tachi, Abdelaziz Lakehal
Publikováno v:
Measurement + Control, Vol 50 (2017)
Dissolved gas analysis of transformer insulating oil is considered the best indicator of a transformer’s overall condition and is most widely used. In this study, a Bayesian network was developed to predict failures of electrical transformers. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c75c90e9e7503ef069776e0e5392c86a
https://doi.org/10.1177/0020294017707461
https://doi.org/10.1177/0020294017707461
Publikováno v:
2017 IEEE 58th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON).
The work presented in this paper focuses on the faults prediction in asynchronous machines. The main goal is to explore interesting information regarding the diagnosis and prediction of electrical machines failures by the use of a Bayesian graphical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7788921b717167a757567021b77333dd
https://doi.org/10.1109/rtucon.2017.8124745
https://doi.org/10.1109/rtucon.2017.8124745
Publikováno v:
2017 6th International Conference on Systems and Control (ICSC).
Nowadays, dissolved gas analysis (DGA) technology of strategic electrical power transformers is universally practiced. The proposed approach is based on mapping the triangle of Duval into Bayesian network (BN). This approach eliminates the uncertaint
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8e1314642f544b584d41f4e110ce17d
https://doi.org/10.1109/icosc.2017.7958645
https://doi.org/10.1109/icosc.2017.7958645