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A Novel Type of Online Oil Monitoring Method in Gearbox of Wind Turbine

机译:一种新型的风力发电机齿轮箱油在线监测方法

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With the rapid development of wind power, wind turbine condition monitoring and fault diagnosis must match the developing rate. The growing number of wind turbine makes all kinds of condition monitoring must be achieved online. In this paper, the fault of gearbox in wind turbine is researched deeply, based on electromagnetic field theory, propose a method to measure gear box oil composition. It provides an online method to monitor the wind turbine gearbox oil. This paper analyzes the principle of the method, sets up the equivalent circuit model and makes a detailed mathematical derivation of argument, then according to the simulation in Mat lab, we verify the feasibility of this method. This method can realize monitoring gearbox oil composition, the real-time status of mechanical wear can be get on line, then indirectly found that various types of early failure of the gearbox. Successfully getting such warning signals early, relative staff can be effectively guided in the equipment maintenance arrangements before serious wear and failure happen. This will reduce equipment damage, reduce the impact of downtime production, at the same time increase the average time between failures of equipment, then result in the productivity improvement.
机译:随着风力发电的飞速发展,风力发电机的状态监测和故障诊断必须与发展速度相适应。越来越多的风力涡轮机使得各种状态监测必须在线实现。本文对风力发电机齿轮箱的故障进行了深入的研究,基于电磁场理论,提出了一种测量齿轮箱油成分的方法。它提供了一种在线方法来监视风力涡轮机变速箱油。本文分析了该方法的原理,建立了等效电路模型,并对参数进行了详细的数学推导,然后根据Mat实验室的仿真,验证了该方法的可行性。该方法可以实现对变速箱机油成分的监测,可以实时获取机械磨损的实时状态,进而间接发现各种类型的变速箱早期故障。尽早成功获得此类警告信号,可以在严重的磨损和故障发生之前有效地指导相关人员进行设备维护。这将减少设备损坏,减少停机生产的影响,同时增加设备故障之间的平均时间,从而提高生产率。

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