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Signal processing techniques for monitoring the vibrations generated by wind turbines

机译：用于监视风力涡轮机产生的振动的信号处理技术

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摘要

The present paper proposes to present the possibilities of processing the vibration signals provided by the transducers contained in a smart monitoring and diagnostics system(SMDS) of a wind turbine that facilitates a predictive maintenance. As a consequence of these measurements, one can determine the condition of the wind turbine generator like the staggering and the frazzle of the rotor, faults in the systems controlling the gyration, imminent cracking of the bearings and of the gearwheels and of the gearboxes in incipient stages. Several signal processing techniques, like the Fourier transform, the Cepstrum analysis, the continuous and the discrete wavelets analysis are highlighted. The monitoring and diagnostics system GUI software application has been implemented using the Labview programming language.
机译：本文提出了处理由风力发电机的智能监控和诊断系统（SMDS）中包含的换能器提供的振动信号的可能性，这有助于进行预测性维护。这些测量的结果是，可以确定风力发电机的状态，例如转子的交错和晃动，控制回转的系统故障，轴承和齿轮以及即将发生的齿轮箱的即将破裂。阶段。重点介绍了几种信号处理技术，例如傅立叶变换，倒谱分析，连续和离散小波分析。监视和诊断系统GUI软件应用程序已使用Labview编程语言实现。

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