华侨大学学报（自然科学版）Issue(1)：32-37,6.DOI:10.11830/ISSN.1000-5013.2016.01.0032
采用趋势状态分析的风机齿轮箱状态在线评估云模型
Online Wind Turbine Gearbox Condition Assessment Cloud Model Using Trend Condition Analysis
摘要
Abstract
To prevent wind turbine gearbox severe faults occurrence,combined normal cloud model and trend condition analysis,this paper presents a novel condition assessment model.Firstly,based on supervisory control and data acquisi-tion (SCADA)historical data,the forecasting model of gearbox operating temperature is established by adapting SVM, and the relative errors sequence of the forecasting values under normal and abnormal conditions are calculated after analy-zing characteristics of trend forecasting.Then,inputting the relative errors sequence into improved backward normal cloud generator with the non-certainty degree,the digital features of normal and abnormal cloud model are obtained.Fur-thermore,the gearbox condition assessment cloud model is given,which is based on online SCADA data of wind turbine to calculate the closeness degree of normal and abnormal cloud model for gearbox current condition,and use the principle of maximum closeness degree to determine the gearbox condition.Finally,the proposed model is verified by online data of a wind turbine gearbox in Liaoning province,the results show that this model is capable of alarming early defects timely of a gearbox,achieving the aim of online condition assessment.关键词
齿轮箱/风电机组/正态云模型/趋势状态分析/逆向正态云发生器Key words
gearbox/wind turbine/normal cloud model/trend condition analysis/backward cloud generator分类
信息技术与安全科学引用本文复制引用
方瑞明,江顺辉,尚荣艳,王黎..采用趋势状态分析的风机齿轮箱状态在线评估云模型[J].华侨大学学报（自然科学版）,2016,(1):32-37,6.基金项目
国家自然科学基金资助项目（51177039）；福建省自然科学基金资助项目（2012J01223）；福建省厦门市重大科技创新平台项目 （）
