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1دورية أكاديمية
المؤلفون: Marc-Alexander Lutz, Bastian Schäfermeier, Rachael Sexton, Michael Sharp, Alden Dima, Stefan Faulstich, Jagan Mohini Aluri
المصدر: Energies, Vol 16, Iss 24, p 7937 (2023)
مصطلحات موضوعية: wind turbine, operation and maintenance, key performance indicators, technical language processing, maintenance work orders, reliability, Technology
وصف الملف: electronic resource
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2دورية أكاديمية
المصدر: Energy and AI, Vol 4, Iss , Pp 100065- (2021)
مصطلحات موضوعية: Anomaly detection, Autoencoder, Root cause analysis, Predictive maintenance, Wind turbine, Explainable artificial intelligence, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Computer software, QA76.75-76.765
وصف الملف: electronic resource
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3دورية أكاديمية
المؤلفون: Marc-Alexander Lutz, Stephan Vogt, Volker Berkhout, Stefan Faulstich, Steffen Dienst, Urs Steinmetz, Christian Gück, Andres Ortega
المصدر: Energies, Vol 13, Iss 5, p 1063 (2020)
مصطلحات موضوعية: wind turbine, maintenance, autoencoder, machine learning, reliability, data driven model, service, performance, Technology
وصف الملف: electronic resource
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4
المصدر: Wind Energy. 23:77-89
مصطلحات موضوعية: Wind power, Renewable Energy, Sustainability and the Environment, business.industry, Spot market, Revenue, Environmental science, Environmental economics, business
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::1693eda3f70ab7edd526c9a9f403ddf1
https://doi.org/10.1002/we.2411 -
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المساهمون: Publica
المصدر: Energy and AI, Vol 4, Iss, Pp 100065-(2021)
مصطلحات موضوعية: Computer science, Anomaly detection, Wind speed, QA76.75-76.765, Artificial Intelligence, Root cause analysis, Computer software, Engineering (miscellaneous), Wind power, Artificial neural network, business.industry, Anomaly (natural sciences), Predictive maintenance, Pattern recognition, Autoencoder, TK1-9971, Offshore wind power, General Energy, Feature (computer vision), Artificial intelligence, Electrical engineering. Electronics. Nuclear engineering, Explainable artificial intelligence, business, Wind turbine
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5443b15028b0c51188b798951d19c9f
http://www.sciencedirect.com/science/article/pii/S2666546821000197 -
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المؤلفون: Marc-Alexander Lutz, Julia Walgern, Katharina Beckh, Juliane Schneider, Stefan Faulstich, Sebastian Pfaffel
المصدر: Journal of Physics: Conference Series. 2257:012004
مصطلحات موضوعية: History, Computer Science Applications, Education
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المؤلفون: Ortega, Marc-Alexander Lutz, Stephan Vogt, Volker Berkhout, Stefan Faulstich, Steffen Dienst, Urs Steinmetz, Christian Gück, Andres
المصدر: Energies; Volume 13; Issue 5; Pages: 1063
مصطلحات موضوعية: wind turbine, maintenance, autoencoder, machine learning, reliability, data driven model, service, performance
وصف الملف: application/pdf