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Wind turbine gearbox fault diagnosis based on the vibration spectrum analysis

机译:基于振动谱分析的风机变速箱故障诊断

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Gear box has the high failure rate among the components in wind turbines and the vibration signal analysis is the most common technology in its fault diagnosis. Gearbox vibration signals of wind turbines have complicated compositions, strong background noise and obvious non-stationary characteristics. The new method research suited to non-stationary and non-gaussian characteristics of vibration signals is the key to improve the level of fault diagnosis technology. In order to diagnosis the operation status of wind turbines, based on the spectral analysis and the combination of vibration wave spectrum analysis of wind turbine gearbox fault diagnosis method is proposed. Through the gearbox oil spectral analysis, tests the main metal content in the oil, the preliminary judgment out of the wind turbine operation working condition. Using the vibration waveform frequency spectrum analysis method can get the fault severity, and analyzes the cause of the problem. This method can realize the wind turbine gearbox fault diagnosis, to ensure reliability. It is can effectively conduct the wind turbine development, design and optimization, and reduces maintenance costs.
机译:齿轮箱在风力涡轮机各部件中的故障率很高,振动信号分析是其故障诊断中最常用的技术。风力发电机的齿轮箱振动信号成分复杂,背景噪声强,非平稳性明显。适应振动信号非平稳非高斯特性的新方法研究是提高故障诊断技术水平的关键。为了诊断风机的运行状态,提出了基于频谱分析和振动波谱分析相结合的风机齿轮箱故障诊断方法。通过变速箱油谱分析,测试油中的主要金属含量,初步判断出风力发电机的运行工况。使用振动波形频谱分析方法可以获得故障的严重程度,并分析引起问题的原因。该方法可以实现风力发电机齿轮箱的故障诊断,确保可靠性。它可以有效地进行风力发电机的开发,设计和优化,并降低维护成本。

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