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A novel order tracking method for wind turbine planetary gearbox vibration analysis based on discrete spectrum correction technique

机译:基于离散谱校正技术的风电行星齿轮箱振动分析的阶次跟踪方法

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摘要

Wind turbine gearboxes generally exhibit complex vibration characteristics due to wide variations in the operating conditions, and dynamics of the structure coupled with flexible supports. Conventional spectral analysis method may not provide reliable health monitoring and fault diagnosis of the gearbox. In this study, a novel order tracking method based on discrete spectrum correction technique is proposed to analyze wind turbine gearbox vibration for the purposes of health monitoring and fault diagnosis. The effectiveness and robustness of the proposed method are demonstrated through simulations and engineering tests. The results show that the shaft rotating speed could be accurately identified from the vibration signal together with amplitudes of significant gear meshing components. Modulation sidebands of both the planetary and fixed-shaft gears in a healthy wind turbine gearbox were further analyzed, which revealed inherent shaft misalignment in the fixed-shaft gear. Meshing frequency of the planetary gear was modulated by both the rotating frequencies of sun gear and planetary carrier, while fundamental modulation frequency of the planetary carrier was found to be related to rotating frequency of the carrier multiplied by the number of planet gears. The monitoring of such particular vibration features would be helpful in enhancing the operational performance of wind turbines through reliable health monitoring of gearboxes and reducing the misdiagnosis of faults. (C) 2015 Elsevier Ltd. All rights reserved.
机译:风力涡轮机齿轮箱通常会由于操作条件的广泛变化以及结构的动态性和柔性支撑而表现出复杂的振动特性。传统的频谱分析方法可能无法提供可靠的齿轮箱健康监测和故障诊断。本文研究了一种基于离散频谱校正技术的阶次跟踪方法,以分析风力发电机齿轮箱的振动,以进行健康监测和故障诊断。通过仿真和工程测试证明了该方法的有效性和鲁棒性。结果表明,可以从振动信号以及重要齿轮啮合分量的振幅中准确识别出轴的转速。对健康风力涡轮机齿轮箱中行星齿轮和固定轴齿轮的调制边带进行了进一步分析,发现固定轴齿轮中固有的轴未对准。行星齿轮的啮合频率由太阳轮和行星齿轮架的旋转频率调制,而行星齿轮架的基本调制频率与行星齿轮架的旋转频率乘以行星齿轮的数量有关。通过对齿轮箱进行可靠的健康状况监测并减少故障的误诊,对此类特殊振动特性的监测将有助于提高风力涡轮机的运行性能。 (C)2015 Elsevier Ltd.保留所有权利。

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