摘要
针对当前模糊评价隶属函数的确定具有主观性且未考虑随机性的问题,提出一种基于组合赋权和云模型的风电机组健康状态评估方法。在构建风电机组健康状态评估指标体系及等级划分基础上,通过组合赋权法确定各指标的权重,应用隶属云模型确定定量指标对各状态等级的隶属度,采用分层评估方法对风电机组健康状态开展综合评价。实例验证结果表明,该方法具有有效性和可行性。
The current fuzzy evaluation of determination of membership function is subjective and does not consider randomness.A method for assessing health status of wind turbine based on combined weighting and cloud model is proposed.On the basis of building the wind turbine health status assessment index system and grade division,the weight of each index is determined through the combination weighting method,and the membership degree of quantitative indicators to each status level is determined by the membership cloud model.The comprehensive evaluation of the health status of wind turbine is carried out through the stratified assessment method.The example verification results show that the proposed method is effective and feasible.
作者
董兴辉
张鑫淼
郑凯
王帅
Dong Xinghui;Zhang Xinmiao;Zheng Kai;Wang Shuai(College of Energy Power and Mechanical Engineering,North China Electric Power University,Beijing 102206,China;College of Electrical Engineering,Hennn Polytechnic University,Jiaozuo 454000,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2018年第8期2139-2146,共8页
Acta Energiae Solaris Sinica
基金
国家重点研发计划政府间国际科技创新合作重点专项(2017YFE0109000)
河北省科技计划(15214370D)
关键词
风电机组
云模型
健康状态评估
组合赋权
模糊性
随机性
wind turbine
cloud model
health status assessment
combination weighting
fuzziness
randomness
作者简介
通信作者：董兴辉（1962-），男，博士、教授，主要从事风电机组健康评估、状态预警等方面的研究。1534506234@qq.com
