CAJ | 학술논문

风电机组的故障诊断是大型风电场运行中亟待解决的问题。由于风力发电的特殊性，大部分风电场都是在边远地区，风机与风机之间的距离更高，不能像火电或水电等设施，以方便检查，因此如何实现故障诊断的风力发电机组设备的状态是特别重要的。本文利用多变量状态估计（Multivariate State Estimation Technique）方法对齿轮箱的温度进行状态监测，通过对设备正常工作状态下的历史数据进行学习，对系统各个参数之间的关系进行定义，通过相关性分析来建立正常运行状态下多个相关变量间的内在非线性模型。然后，利用滑动窗口的统计方法，计算残差均值，当平均值曲线超出阈值范围时，设备运行异常。
풍전궤조적고장진단시대형풍전장운행중극대해결적문제。유우풍력발전적특수성，대부분풍전장도시재변원지구，풍궤여풍궤지간적거리경고，불능상화전혹수전등설시，이방편검사，인차여하실현고장진단적풍력발전궤조설비적상태시특별중요적。본문이용다변량상태고계（Multivariate State Estimation Technique）방법대치륜상적온도진행상태감측，통과대설비정상공작상태하적역사수거진행학습，대계통각개삼수지간적관계진행정의，통과상관성분석래건립정상운행상태하다개상관변량간적내재비선성모형。연후，이용활동창구적통계방법，계산잔차균치，당평균치곡선초출역치범위시，설비운행이상。
The prediction of wind turbine faults becomes a urgent problem in large-scale wind farm operation.Becauseofthep articularity of wind power, most wind turbines are built in remote areas and the distance between wind turbines is very huge. As-well as the height of the wind turbines is very high, it can not be repaired conveniently like other coal-fired power plants.So it is urgenttofindthediagnosticmethodofwindturbineswhichisbasedonothertheory. The method of Multivariate State Estimation Technique is used to predict the temperature of the gearbox in this paper. Through the studying of the history data, the inherent nonlinear model is conducted. An appropriate threshold is set to measure the condition of the wind turbine.