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MARE-WINT : New Materials and Reliability in Offshore Wind Turbine Technology (2016)
Cham, Heidelberg, Dordrecht, London, New York : SpringerOpen
Keywords: renewable ; green ; energy ; environment ; law ; policy
Notes: This book provides a holistic, interdisciplinary overview of offshore wind energy, and is a must-read for advanced researchers. Topics, from the design and analysis of future turbines, to the decommissioning of wind farms, are covered. The scope of the work ranges from analytical, numerical and experimental advancements in structural and fluid mechanics, to novel developments in risk, safety & reliability engineering for offshore wind.The core objective of the current work is to make offshore wind energy more competitive, by improving the reliability, and operations and maintenance (O&M) strategies of wind turbines. The research was carried out under the auspices of the EU-funded project, MARE-WINT. The project provided a unique opportunity for a group of researchers to work closely together, undergo multidisciplinary doctoral training, and conduct research in the area of offshore wind energy generation. Contributions from expert, external authors are also included, and the complete work seeks to bridge the gap between research and a rapidly-evolving industry.
Pages: XI, 432 S., 70 schwarz-weiß Abbildungen, 164 Farbabbildungen
ISBN: 978-3-319-39094-9
Paper (German National Licenses)
Bush Skewness Defect in Journal Bearing as an Example of Knowledge Base Development (2005)
s.l. ; Stafa-Zurich, Switzerland : Scientific.Net
Key engineering materials Vol. 293-294 (Sept. 2005), p. 425-432 
ISSN: 1013-9826
Source: Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes: In the paper presented are course and results of investigations of the influence of slide bearing bush and shaft mutual skewness on the dynamic properties of the 200 MW 13K215 turboset. The defect was simulated by means of numerical model of the turboset. Simulation was performed for each bearing individually in both, horizontal and vertical planes. Maximum values of the skewness angle were calculated for each bearing at both planes. The influence of the defect on dynamic properties of turboset was presented. Basing on the results of the simulation multiple defect-symptom diagnostic relations were built. Diagnostic relations were used as learning and testing data sets for a knowledge base of an expert system based on the inverse diagnostic model. This expert system is implemented at the unit 7 at the Kozienice Power Station as a first domestic diagnostic system
Type of Medium: Electronic Resource