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The Faults Estimation Method of Wind Turbine Components by Optimization with $ell_{0}$ norm Constraint

机译: $ ell_ {0} $ 范数约束优化的风力发电机组故障估计方法

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The accuracy of speed tracking gives a chance occurrence of faults on wind turbine components. A bias fault estimation in the WTG (Wind Turbine Generator) system is needed as a reference for maintenance schedules to reduce maintenance costs. This paper proposes the use of the method of faults estimation on WTG component. The proposed method with a single observer is built using optimization $ell_{0}$ norm constraint derived by applying a compressed sensing technique with a simulation in MATLAB. This method answers the problem of observability that is found in the use of a single observer to estimate several faults with limited measurement variables. This paper gives the results of the numerical example of sensor components fault in wind turbines to demonstrate the effectiveness of the proposed method
机译:速度跟踪的准确性使风力涡轮机组件出现故障的可能性很高。需要WTG(风力涡轮发电机)系统中的偏差故障估计作为维护计划的参考,以减少维护成本。本文提出了对WTG组件进行故障估计的方法。通过优化构建具有单个观察者的建议方法 $ \ ell_ {0} $ 通过在MATLAB中应用压缩感测技术和仿真得出的规范约束。该方法解决了在使用单个观察者来估计具有有限测量变量的多个故障时发现的可观察性问题。本文给出了风机中传感器组件故障的数值例子的结果,以证明该方法的有效性。

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