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Fault Evolution Parameter Extraction Method Faced to Wind Turbine Gearbox System

机译:风力发电机齿轮箱系统故障演化参数提取方法

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Rotating machinery is the most widely used mechanical equipment in production, and wind turbines are typical large rotating machinery, whether the equipment running in safe and stable state has an important impact on the economy and society. The wind turbine gear running in variable conditions and variable speed state, so traditional method which studying fault mechanism through fault feature frequency under certain speed is no longer applicable. This paper describes the evolutionary trajectory of spalling fault of wind turbine gearbox transmission system. Deterioration evolutionary matrix has been proposed based on higher-order cumulant method, and the mapping mechanism is established between the fault evolution and fault state migration. Fault evolution parameter such as mean value and variance of normal distribution has been extracted and used to depict fault evolutionary track. Finally, the graphical representation of fault evolution process is explored. Concerning the fault of gearbox transmission system, this research mainly emphasizes on fault evolution. It will provide scientific means to implement predictive maintenance, and avoid occurrence of fatal accidents.
机译:旋转机械是生产中使用最广泛的机械设备,而风力涡轮机是典型的大型旋转机械,无论该设备在安全稳定状态下运行对经济和社会都有重要影响。由于风力涡轮机齿轮在可变条件和变速状态下运行,因此通过故障特征频率在一定速度下研究故障机理的传统方法不再适用。本文描述了风力发电机变速箱传动系统剥落故障的演化轨迹。提出了基于高阶累积量方法的退化演化矩阵,并建立了故障演化与状态迁移之间的映射机制。提取了故障演化参数,如均值和正态分布方差,并用于描述故障演化轨迹。最后,探讨了故障演化过程的图形表示。关于变速箱传动系统的故障,本研究主要着重于故障的发展。它将提供科学的方法来实施预测性维护,并避免发生致命事故。

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