Journal ArticleDOI
Life-extension classification of offshore wind assets using unsupervised machine learning
Xiaobin Liao,Xiaobin Liao +1 more
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TLDR
In this article , the authors presented a techno-economic life-extension analysis for fixed offshore wind turbines for the purpose of classification and certification, which combines revenue estimates and operational expenditures, considering the lifeextension duration and appropriate discount rate.About:
This article is published in Reliability Engineering & System Safety.The article was published on 2022-03-01. It has received 14 citations till now. The article focuses on the topics: Offshore wind power & Life extension.read more
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Failure Rate Assessment for Onshore and Floating Offshore Wind Turbines
TL;DR: In this article , a detailed analysis is performed on a dataset of failure and maintenance records from various onshore wind farms located in different geographical areas for the safety, risk, reliability, availability, and maintainability characterization of wind turbines.
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Self-adaptive optimized maintenance of offshore wind turbines by intelligent Petri nets
TL;DR: In this article , an intelligent Petri net algorithm has been created and applied to model and optimize offshore wind turbines' operation and maintenance, and the results show that the proposed method is capable to reach optimal condition-based maintenance policy considering maximum availability (equal to 99.4%) and minimal operational costs.
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Integrated Structural Dependence and Stochastic Dependence for Opportunistic Maintenance of Wind Turbines by Considering Carbon Emissions
TL;DR: In this paper , an opportunistic maintenance strategy that considers structural correlations, random correlations, and carbon emissions is proposed for the maintenance problems of wind turbines, and a case study is provided to analyze the performance of the proposed model.
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High-accuracy reliability evaluation for the WC–Co-based cemented carbides assisted by machine learning
TL;DR: In this article , a machine learning-assisted strategy to analyze the reliability of the materials was proposed, where the WC-co-based cemented carbides were taken as the target materials and the machine learning models coupled feature engineering methods with advanced machine learning algorithms.
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Recent advances and future trends on maintenance strategies and optimisation solution techniques for offshore sector
TL;DR: In this paper , the authors have carried out a review of recent state-of-the-art literature from which they have observed that the current state of the art does not incorporate site constraints of the asset related to offshore personnel resource availability and impact of time required to carry out activities, into the maintenance plan and its impact on other activities due to the maintenance.
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Vibration Based Condition Monitoring: A Review:
E. Peter Carden,Paul Fanning +1 more
TL;DR: In this article, the state of the art in vibration-based condition monitoring with particular emphasis on structural engineering applications is reviewed, focusing on the use of in situ non-destructive sensing and analysis of system characteristics for detecting changes, which may indicate damage or degradation.
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The economics of wind energy
TL;DR: In this article, the authors present the outcomes of a recent study carried out among wind energy manufacturers and developers regarding the current generation costs of wind energy projects in Europe, the factors that most influence them, as well as the reasons behind their recent increase and their expected future evolution.
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Assessment of the integrity of structures containing defects
TL;DR: A number of methods are now available for assessing the integrity of structures containing flaws in all loading regimes as discussed by the authors, and one of these methods is used to define a route for establishing the structural integrity of a structure containing defects.