基于本体和FTF的风力发电设备维护优化

为满足优化风电设备维护计划的需求,提出了用本体将故障模式影响及危害性分析(FMECA)与故障树分析(FTA)相结合的方法，即FTF方法。该方法根据风电设备故障模式的特点，分四个步骤建立了风电FMECA领域本体，然后利用本体推导出故障树，计算故障树最小割集的风险顺序数以优化维护计划。该方法解决了FMECA不能研究多故障的问题，并实现了知识的共享、重用和推理，能有效提高风电设备维护效率。

Maintenance Optimization for Wind Power Generation Equipment Based on Ontology and FTF

To meet the needs of maintenance optimization for wind power generation equipment, an ontology-based fault tree analysis(FTA) method was presented, which was the combination of failure mode effects and criticality analysis(FMECA) and FTA. According to the characteristics of failure modes, the FMECA ontology of wind power generation equipment was modeled from four steps. The fault tree could be deduced from the ontology, then the risk priority numbers of the minimal cut sets were calculated, which was used to guide maintenance plan optimization. The problem that FMECA  could not  investigate multiple failure modes might be solved, and the sharing, reuse and reasoning of maintenance knowledge was realized. The application examples show that the maintenance efficiency of wind power generation equipment can be increased greatly by means of the proposed method.