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A computational framework for life-cycle management of wind turbines incorporating structural health monitoring
Publikationstyp
Journal Article
Date Issued
2013-06-19
Sprache
English
Author(s)
Journal
Volume
12
Issue
4
Start Page
359
End Page
376
Citation
Structural Health Monitoring 12 (4): 359-376 (2013-07-01)
Publisher DOI
Scopus ID
Publisher
Sage Publications
The integration of structural health monitoring into life-cycle management strategies can help facilitating a reliable operation of wind turbines and reducing the life-cycle costs significantly. This article presents a life-cycle management framework for online monitoring and performance assessment of wind turbines, enabling optimum maintenance and inspection planning at minimum associated life-cycle costs. Incorporating continuously updated monitoring data (i.e. structural, environmental, and operational data), the framework allows capturing and understanding the actual wind turbine condition and, hence, reduces uncertainty in structural responses as well as load effects acting on the structure. As will be shown in this article, the framework integrates a variety of heterogeneous hardware and software components, including sensors and data acquisition units, server systems, Internet-enabled user interfaces as well as finite element models for system identification, and a multiagent system for self-detecting sensor malfunctions. To validate its capabilities and to demonstrate its practicability, the framework is deployed for continuous monitoring and life-cycle management of a 500-kW wind turbine. Remote life-cycle analyses of the monitored wind turbine are conducted, and case studies are presented investigating both the structural performance and the operational efficiency of the wind turbine.
Subjects
Life-cycle management
long-term monitoring
statistical analysis
structural health monitoring
wind turbine operational efficiency
wind turbine structural performance
wind turbines
DDC Class
004: Informatik