Quantitative Damage Detection and Sparse Sensor Array Optimization of Carbon Fiber Reinforced Resin Composite Laminates for Wind Turbine Blade Structural Health Monitoring

Author:

Li Xiang,Yang Zhibo,Chen Xuefeng

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference58 articles.

1. The prediction and diagnosis of wind turbine faults;Kusiak;Renew. Energy,2011

2. Condition monitoring benefit for onshore wind turbines: Sensitivity to operational parameters;McMillan;IET Renew. Power Gener.,2008

3. 20% Wind Energy by 2030: Increasing Wind Energy's Contribution to US Electricity Supply;DoE,2008

4. Review of structural health and cure monitoring techniques for large wind turbine blades;Schubel;Renew. Energy,2013

5. Status and problems of wind turbine structural health monitoring techniques in China;Liu;Renew. Energy,2010

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