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Passive Damage Monitoring of Wind Turbine Rotor Blades Using Cyclic Signal Processing

机译:基于循环信号处理的风轮机叶片被动损伤监测

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As of Q1 2011, 41,400 MW of wind energy had been installed in the US and thoseinstallations are on pace to achieve the US DOE goal of 20% wind energy by 2030.With this increased level of penetration from wind generation, the stability of theelectrical grid will become dependent on the reliability of offshore and terrestrial windturbines. Structural health monitoring (SHM) integrated into the Operations &Maintenance (O&M) strategy of wind plants has the ability to both increase reliabilityand reduce O&M costs. Sandia National Laboratories Wind Energy TechnologiesDepartment (SNL) has been actively researching SHM technologies at the subcomponent,component, and full system levels in both computational and experimentalefforts for both terrestrial and offshore wind plants. SNL commissioned thefabrication of a Sensored rotor blade during Spring 2008 as a test bed for promisingwind rotor monitoring technologies, including strain gages, fiber Bragg gratings, RTDtemperature sensors and accelerometers. Following operational testing, the rotor bladewas shipped to the National Renewable Energy Laboratory National WindTechnology Center to test structural health monitoring techniques during a fatigue tofailure rotor blade test. To understand the structural state of the rotor blade, a methodwas devised to estimate Frequency Response Functions from the fatigue excitation andresponse. The results showed that the method for estimating FRFs could be used tomonitor the fatigue test magnitude, phase and structural characteristics throughout the2M cycle test.
机译:截至2011年第一季度,美国已经安装了41,400兆瓦的风能, 装置的安装正在逐步实现美国能源部的目标,即到2030年将风能发电量提高20%。 随着风力发电渗透的增加,风电的稳定性 电网将取决于海上和陆地风的可靠性 涡轮机。将结构健康监控(SHM)集成到运营和 风电厂的维护(O&M)策略具有提高可靠性的能力 并降低运维成本。桑迪亚国家实验室风能技术 部门(SNL)一直在子组件中积极研究SHM技术, 组件和整个系统级别的计算和实验 陆上和海上风力发电厂的努力。 SNL委托 在2008年春季期间制造感测转子叶片作为有希望的试验台 风力转子监控技术,包括应变计,光纤布拉格光栅,RTD 温度传感器和加速度计。经过运行测试后,转子叶片 被运送到国家可再生能源实验室National Wind 技术中心在疲劳期间测试结构健康监测技术 转子叶片测试失败。为了了解转子叶片的结构状态,一种方法 被设计用来从疲劳激励和频率估计函数来估计频率响应函数。 回复。结果表明,该方法可用于FRF估计。 在整个过程中监控疲劳测试的幅度,相和结构特征 2M循环测试。

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