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Comparison of electrical and vibration analysis methods for mechanical fault monitoring in wind turbine drive trains

机译:风力涡轮机驱动盘机械故障监测电气振动分析方法的比较

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Mechanical faults occurring in drive trains are traditionally monitored through vibration analysis, and more rarely by analyzing electrical quantities measured on the involved electromechanical system. However, a monitoring method able to take into account the whole information contained in three-phase electrical quantities was recently proposed. The goal of this paper is to compare this three-phase electrical approach and the usual vibration-based method in terms of detection capabilities of mechanical faults in drive trains. In this context, a 2MW geared wind turbine operating in an industrial wind farm was equipped during several months with accelerometers near the main bearing and electrical sensors on the stator of the electrical generator. During this period, an important mechanical fault occurred in the main bearing of this system. The evolution of the fault indicators computed by the two previous approaches are compared all along this period of time. All the indicators behave similarly and show the development of an inner bearing fault in the main bearing. This demonstrate that a mechanical fault occurring in a drive train can be monitored and detected by analyzing electrical quantities, even if the fault is distant from the electrical generator.
机译:在传动列车中发生的机械故障传统上通过振动分析监测,并且通过分析所涉及的机电系统测量的电量更罕见。然而,最近提出了一种能够考虑三相电量包含的整个信息的监测方法。本文的目标是在驱动列车中机械故障的检测能力方面比较这三相电气方法和常规的振动方法。在这种情况下,在几个月内配备了在工业风电场中操作的2MW的齿轮风力涡轮机,其在主轴承附近的加速度计和电力发电机的定子上的电气传感器。在此期间,该系统的主要轴承发生了重要的机械故障。通过这两个方法计算的故障指示器的演变在这一段时间内得到了一直比较。所有指标都表现了类似,并显示主轴承内部轴承故障的开发。这表明,即使故障与发电机远离电气,也可以通过分析电量监测和检测在传动系中发生的机械故障。

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