华侨大学学报（自然科学版）2018，Vol.39Issue(1)：86-91,6.DOI:10.11830/ISSN.1000-5013.201512040
采用动态劣化度的风电机组运行状态实时评估
Real-Time Wind Turbine Operating Assessment Using Dynamic Inferior Degree
摘要
Abstract
To meet the real-time requirements of a wind turbine conditions assessment under large data environment,based on dynamic inferior degree,this paper presents a novel real-time conditions assessment method.Firstly,the dynamic inferior degree calculation model is established.Then,introducing the normal cloud model to replace the traditional membership function.Furthermore,applying the normal cloud model into fuzzy synthetic evaluation method,a real-time operating conditions assessment method is given.Finally,the method is tested on the SCADA data of a wind turbine in Liaoning province.The results show that this method is capable of not only accurately assessing the real-time operating conditions of wind turbine,but also alarming its early defects timely,which is useful for wind turbine to prevent the occurrence of serious faults.关键词
风电机组/动态劣化度/实时状态评估/马尔科夫链模型/正态云模型Key words
wind turbine/dynamic inferior degree/real-time conditions assessment/Markov chain model/normal cloud model分类
信息技术与安全科学引用本文复制引用
江顺辉,方瑞明,尚荣艳,王黎..采用动态劣化度的风电机组运行状态实时评估[J].华侨大学学报（自然科学版）,2018,39(1):86-91,6.基金项目
国家自然科学基金资助项目(51177039) （51177039）
福建省自然科学基金资助项目(2012J01223) （2012J01223）
福建省厦门市重大科技创新平台项目(3502Z20111008) （3502Z20111008）
