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Fatigue Reliability-Based Inspection and Maintenance Planning of Gearbox Components in Wind Turbine Drivetrains

机译:基于疲劳可靠性的风力机传动系统齿轮箱部件检测与维修规划

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摘要

This paper introduces a reliability-based maintenance plan for wind turbine gearbox components. The gears and bearings are graded based on their fatigue damage and a maintenance map is developed to focus on those components with higher probability of fatigue failure and lower level of reliability. The main aim of this paper is to propose a method for developing the “vulnerability map” which can be used by maintenance teams to identify the components with lower reliabilities. The fatigue damage for gears and bearings are calculated at rated wind speed by the SN curve approach. The load duration distribution (LDD) method is used to obtain the stress range cycles for gears and load range cycles for bearings from the load and load effect time series obtained from a global response analysis. During routine inspection and maintenance, the vulnerability map can be used to find the faulty component by inspecting those with highest probability of failure rather than examining all gears and bearings. Such maps can be used for fault detection during routine maintenance and can reduce the down time and efforts of maintenance team to identify the source of problem. The proposed procedure is exemplified by a 750 kW gearbox and a vulnerability map is developed for this case study gearbox.
机译:本文介绍了基于风力发电机齿轮箱组件的可靠性维护计划。齿轮和轴承根据其疲劳损伤进行分级,并制定维护地图以重点关注疲劳失效可能性更高且可靠性较低的那些组件。本文的主要目的是提出一种开发“漏洞图”的方法,维护团队可以使用该方法来识别可靠性较低的组件。齿轮和轴承的疲劳损伤是通过SN曲线方法在额定风速下计算的。负荷持续时间分布(LDD)方法用于从通过全局响应分析获得的负荷和负荷影响时间序列中获得齿轮的应力范围周期和轴承的负荷范围周期。在例行检查和维护过程中,可以通过检查最有可能发生故障的零件而不是检查所有齿轮和轴承,来使用漏洞图查找故障零件。这样的地图可用于例行维护期间的故障检测,并且可以减少停机时间,并减少维护团队识别问题根源的工作。 750 kW变速箱示例了所建议的程序,并为此案例研究了变速箱。

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