Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Sofia Koukoura"'
Publikováno v:
Energies, Vol 14, Iss 20, p 6601 (2021)
Wind turbine pitch system condition monitoring is an active area of research, and this paper investigates the use of the Isolation Forest Machine Learning model and Supervisory Control and Data Acquisition system data for this task. This paper examin
Externí odkaz:
https://doaj.org/article/42c37709e6714824903196741c3b2ab3
Publikováno v:
The Journal of Engineering (2019)
Innovations which help facilitate predictive maintenance strategies have the potential to greatly reduce costs associated with wind turbine O&M by driving efficiency and increasing wind turbine availability. This study uses multiple examples of the s
Externí odkaz:
https://doaj.org/article/f01349e8ca4a48b2a4baa69d3b0a82d6
Publikováno v:
Energies, Vol 14, Iss 5, p 1375 (2021)
This research aims to bring together thermal modelling and machine learning approaches to improve the understanding on the operation and fault detection of a wind turbine gearbox. Recent fault detection research has focused on machine learning, black
Externí odkaz:
https://doaj.org/article/82715e4527ff4338b8d668c0cc32a835
Autor:
Conor McKinnon, James Carroll, Alasdair McDonald, Sofia Koukoura, David Infield, Conaill Soraghan
Publikováno v:
Energies, Vol 13, Iss 19, p 5152 (2020)
Anomaly detection for wind turbine condition monitoring is an active area of research within the wind energy operations and maintenance (O & M) community. In this paper three models were compared for multi-megawatt operational wind turbine SCADA data
Externí odkaz:
https://doaj.org/article/08d76c7201d249008a8d7bbd5446527a
Publikováno v:
Energies, Vol 13, Iss 18, p 4745 (2020)
Operations and Maintenance (O&M) can make up a significant proportion of lifetime costs associated with any wind farm, with up to 30% reported for some offshore developments. It is increasingly important for wind farm owners and operators to optimise
Externí odkaz:
https://doaj.org/article/45584b043a7d4bdb949afd2b3ac3837b
Autor:
Estefania Artigao, Sofia Koukoura, Andrés Honrubia-Escribano, James Carroll, Alasdair McDonald, Emilio Gómez-Lázaro
Publikováno v:
Energies, Vol 11, Iss 4, p 960 (2018)
The goal of the present paper is to achieve the diagnosis of an in-service 1.5 MW wind turbine equipped with a doubly-fed induction generator through current signature and vibration analyses. Real data from operating machines have rarely been analyse
Externí odkaz:
https://doaj.org/article/72f7e6609810436497652bdd5ba5d029
Autor:
Sofia Koukoura
This presentation discusses the vision“To monitor the health and performance of our generation assets, to mitigate risks, and proactively detect emerging failures” & the Why (reduce O&M costs), What (condition based maintenance), & How (data driv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66f3fa51c8610fd6c937d3708aaa43fa
Publikováno v:
Energies, Vol 14, Iss 6601, p 6601 (2021)
Energies; Volume 14; Issue 20; Pages: 6601
Energies; Volume 14; Issue 20; Pages: 6601
Wind turbine pitch system condition monitoring is an active area of research, and this paper investigates the use of the Isolation Forest Machine Learning model and Supervisory Control and Data Acquisition system data for this task. This paper examin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5e6ca6956a1de8f87ce258b46c6fca0
https://www.mdpi.com/1996-1073/14/20/6601
https://www.mdpi.com/1996-1073/14/20/6601
Publikováno v:
Future Transportation
Volume 1
Issue 1
Pages 8-133
Volume 1
Issue 1
Pages 8-133
Predicting car ownership patterns at high spatial resolution is key to understanding pathways for decarbonisation—via electrification and demand reduction—of the private vehicle fleet. As the factors widely understood to influence car ownership a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e3440b1495ad3374279c7905b659e46
https://doi.org/10.3390/futuretransp1010008
https://doi.org/10.3390/futuretransp1010008
Publikováno v:
IET Renewable Power Generation. 13:2549-2557
Health state assessment of wind turbine components has become a vital aspect of wind farm operations in order to reduce maintenance costs. The gearbox is one of the most costly components to replace and it is usually monitored through vibration condi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::856e75943e111aa92d74a1326e3baa6d
https://doi.org/10.1049/iet-rpg.2018.5313
https://doi.org/10.1049/iet-rpg.2018.5313