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Fault Diagnosis of Wind Turbine Gearboxes Using Enhanced Tacholess Order Tracking

机译:增强型无速度指令跟踪的风力发电机齿轮箱故障诊断

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摘要

Health monitoring of wind turbines is crucial toudsupport their sustainability and economic operation. Gearbox failures contribute significantly to the cost of wind turbine maintenance. These failures are typically monitored by Vibration sensors attached to external housing. Non-stationary vibration is induced by the variable-speed operation of the wind turbine. In this paper, a new technique is introduced to enable the extraction of a speed reference from the vibration signal, which can be utilized to remove speed fluctuations and diagnose faults in the gearbox. High speed variations of the shaft, i.e., tachoudsignal, have been extracted from the vibration signal of anudaccelerometer mounted on the casing of the gearbox. Theudepicyclic mesh frequency has been used to construct the speed reference by an enhanced order tracking technique comprising auto-adjustable phase demodulation (APD). APD is aimed at improving fault detection efficiency by accommodating high speed fluctuations. The effectiveness of the proposed APD performance has been successfully demonstrated by using vibration measurements from commercial in-service wind turbines.
机译:风力涡轮机的健康监控对于支持其可持续性和经济运营至关重要。变速箱故障大大增加了风机维护成本。这些故障通常由安装在外壳上的振动传感器监控。风力涡轮机的变速运行会引起非平稳振动。在本文中,介绍了一种新技术,可从振动信号中提取速度参考值,该技术可用于消除速度波动并诊断齿轮箱中的故障。从安装在变速箱壳体上的加速度计的振动信号中提取了轴的高速变化,即测速信号 ududal。通过包括自动可调相位解调(APD)的增强阶次跟踪技术,已使用 udepicyclic网格频率来构建速度参考。 APD旨在通过适应高速波动来提高故障检测效率。通过使用商用在役风力涡轮机的振动测量,已成功证明了建议的APD性能的有效性。

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