信息与控制2018，Vol.47Issue(6)：694-701,712-713,10.DOI:10.13976/j.cnki.xk.2018.7488
基于数据的风电机组发电机健康状况评估
Health Assessment of Wind-turbine Generator Based on Data
摘要
Abstract
The generator is a crucial component of the wind turbine. However, the failure probability of the generator is high and maintenance is difficult due to its complicated internal structure and harsh operating environment. To solve this problem, we propose a health assessment method for the wind-turbine generator based on supervisory control and data acquisition (SCADA) data. First, we identify variables related to the operating status of the generator and redundant variables based on expert experience and correlation analysis of the state variables. On this basis, we select some reasonable state parameters. Then, using historical data from normal operation, we establish a health benchmark model based on the Gaussian mixture model (GMM). Finally, to evaluate the health status of a generator, we design a health degradation index (HDI) based on the Mahalanobis distance. We verify the effectiveness of our proposed method, and we apply it to 2016 SCADA data from a wind farm of the Shanghai Electric Wind Power Group Co., Ltd. The test results show that the proposed method can accurately track changes in the generator operating status and facilitate early fault identification.In addition, the proposed method is universal in its application.关键词
发电机/相关性分析/高斯混合模型/在线健康评估/健康衰退指标Key words
generator/correlation analysis/Gaussian mixture model (GMM)/online health assessment/health degradation index (HDI)分类
信息技术与安全科学引用本文复制引用
张静,李柠,李少远,黄猛..基于数据的风电机组发电机健康状况评估[J].信息与控制,2018,47(6):694-701,712-713,10.基金项目
国家自然科学基金资助项目(61773260, 61590925) （61773260, 61590925）
国家973计划基金资助项目(2014CB249200) （2014CB249200）
国家863计划基金资助项目(2015AA043102) （2015AA043102）
上海市科委项目(15dz1206700) （15dz1206700）
