Journal ArticleDOI
A case study on risk-based maintenance of wind turbine blades with structural health monitoring
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TLDR
A case study shows how the maintenance cost optimization can be performed using a risk-based approach cast in a Bayesian decision analysis framework, in which probabilistic models are developed for blade deterioration processes, blade inspections, and SHM systems.Abstract:
The paper presents a case study demonstrating the methods used to estimate the value of the information (VoI) delivered by a structural health monitoring (SHM) system. The monitored object is a bla...read more
Citations
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Journal ArticleDOI
Sustainable End-of-Life Management of Wind Turbine Blades: Overview of Current and Coming Solutions.
TL;DR: In this paper, various scenarios of end-of-life management of wind turbine blades are reviewed, among them, maintenance and repair, reuse, refurbishment and recycling, and the main results and challenges of "proactive strategies", designed to ensure recyclingability of new generations of wind turbines, are discussed.
Journal ArticleDOI
Value of information analysis in civil and infrastructure engineering: a review
Wei-Heng Zhang,Wei-Heng Zhang,Da-Gang Lu,Jianjun Qin,Sebastian Thöns,Sebastian Thöns,Michael Havbro Faber +6 more
TL;DR: The concept of value of information (VoI) has attracted significant attentions within the civil engineering community over especially the last decade as discussed by the authors, which is referred to as Value of Information (VOI) analysis.
Journal ArticleDOI
In-situ condition monitoring of wind turbine blades: A critical and systematic review of techniques, challenges, and futures
TL;DR: In this article , the authors present typical causes and types of blade damage that deserve to be considered during the running time of wind turbines, and the investigation and development timeline of in-situ condition monitoring techniques for operational wind turbines.
Journal ArticleDOI
A Comprehensive Review of Artificial Intelligence and Wind Energy
TL;DR: In this article, the most remarkable artificial intelligence techniques employed in wind turbines monitoring systems are analyzed individually and together: Artificial Neural Networks; Fuzzy Logic; Genetic Algorithms; Particle Swarm Optimization; Decision Making Techniques; and Statistical Methods.
Journal ArticleDOI
Damage Mechanism Based Approach to the Structural Health Monitoring of Wind Turbine Blades
Malcolm McGugan,Leon Mishnaevsky +1 more
TL;DR: In this paper, a damage mechanism based approach to the structural health monitoring of wind turbine blades is formulated, and examples demonstrate the possibilities of monitoring specific damage mechanisms and specific localizations of turbine blades.
References
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Journal ArticleDOI
A Tutorial on the Cross-Entropy Method
TL;DR: This tutorial presents the CE methodology, the basic algorithm and its modifications, and discusses applications in combinatorial optimization and machine learning.
Journal ArticleDOI
Stochastic Modeling of Deterioration Processes through Dynamic Bayesian Networks
TL;DR: A generic framework for stochastic modeling of deterioration processes is proposed, based on dynamic Bayesian networks that facilitates computationally efficient and robust reliability analysis and, in particular, Bayesian updating of the model with measurements, monitoring, and inspection results.
Journal ArticleDOI
Reliability-based management of inspection, maintenance and repair of offshore structures
TL;DR: In this paper, the development of reliability-based management of inspection, monitoring, maintenance and repair (IMMR) of various types of offshore structures is described, with a focus on management of hull damage due to crack growth and corrosion.
Journal ArticleDOI
Optimisation of maintenance routing and scheduling for offshore wind farms
TL;DR: An optimisation model and a solution method for maintenance routing and scheduling at offshore wind farms are proposed that finds the optimal schedule for maintaining the turbines and the optimal routes for the crew transfer vessels to service the turbines along with the number of technicians required for each vessel.
Journal ArticleDOI
Probabilistic methods for planning of inspection for fatigue cracks in offshore structures
TL;DR: In this article, the authors present guidelines for the use of probabilistic methods for planning in-service inspection for fatigue cracks in offshore structures, based on the work of DNV GL.
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