用于故障预测的风力发电机数字孪生的发展:初步成果

Bolivar Núñez-Montoya, Carlos Naranjo-Riofrío, Luis López-Estrada, C. Tutivén, Y. Vidal, Marcelo Fajardo-Pruna
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引用次数: 3

摘要

风力涡轮机正在增加其发电能力,这需要提高可靠性。在风力涡轮机中发生的最相关的故障之一是主轴承的故障。研究可以预测风力涡轮机在不同运行条件下的行为的方法,将允许对设备元件中任何可能的故障进行预测。目前的工作展示了使用SCADA数据开发风力涡轮机数字孪生的第一个结果。这个DT应该允许估计和模拟WT的行为,并成为预测故障的附加工具。使用的平台是MATLAB及其Simulink和Simscape模块。
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Development of a Wind Turbine Digital-Twin for failure prognosis: First Results
Wind turbines are increasing their generation energy capacity, which requires an increase in reliability. One of the most relevant failures that occur in wind turbines is the one in the main bearing. The study of methods that allows predicting the behavior of Wind Turbines under different operation conditions will permit a forecast of any possible failure in the elements of the device. The current work presents the first results in developing a wind turbine digital twin using SCADA data. This DT should allow to estimate and simulate the behavior of the WT and be an additional tool in the prediction of failures. The used platform is MATLAB and its Simulink and Simscape modules.
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