基于FMEA风险评价和FTA定量分析的风电机组维修决策
雷启龙1，贾子文*2
（1.国华能源投资有限公司，北京 100007；2.华北电力大学 新能源电力系统国家重点实验室，北京 102206）
摘要：从故障模式出发，在对风电机组典型故障模式进行详细的FMEA分析及FTA分析的基础上，利用基于RPN与AHP相结合的FMEA风险评价方法，计算出风电机组典型故障模式的风险等级，作为并发故障处理优先次序的决策依据；同时利用FTA定量分析方法，建立故障模式发生概率计算模型，得到该故障模式下所有基本事件概率重要度，作为多故障原因按序排查的决策依据；最终对照FMEA表获得已发生故障模式的维修流程和具体措施，可减少维修业务盲目性，实现风电机组科学维修决策。
关键词：风电机组；典型故障模式；风险等级；概率重要度；维修决策
中图分类号：TH165+.3 文献标志码：A doi：10.3969/j.issn.1006-0316.2017.03.019
文章编号：1006－0316 (2017) 03－0071－08
Maintenance Decision of Wind Turbines Based on FMEA Risk Assessment and FTA Quantitative Analysis
LEI Qilong1，JIA Ziwen2
( 1.Guohua Energy Investment Co., Ltd., Beijing 100007, China;
2. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China )
2. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China )
Abstract：Based on the Failure Modes and Effects Analysis (FMEA) and fault tree analysis (FTA) with typical failure modes, a FMEA risk assessment method which combined with RPN and AHP is introduced in this paper. With this method, the risk level of typical failure modes of wind turbine are calculated which is the decision basis to determine priority for concurrent faults; then a model using FTA quantitative analysis method is built to calculate the probability importance of all basic events in the fault mode which is the decision basis to determine the check sequence for multiple fault causes; finally, the maintenance process and the specific measures of the failure mode could be acquired from the FMEA table. All of these works would reduce blindness of maintenance and realize scientific maintenance decision of wind turbines.
Key words：wind Turbines；typical failure modes；risk level；probability importance；maintenance decision
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收稿日期：2016－11－08
基金项目：神华集团科技创新项目（SHJT-12-24）；中央高校基本科研业务专项基金（2016XS27）
作者简介：雷启龙（1981－），男，内蒙古乌兰察布人，硕士研究生，工程师，主要从事风电、光伏生产管理工作。通讯作者：贾子文（1986－），男，河北唐山人，博士研究生，主要研究方向为风力发电设备状态监测与管理。
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