摘要
随着风电装机容量的持续增长,风能在能源中占比不断增加,对风电机组的故障诊断和故障预测提出了更高的要求。根据故障诊断类别与风力发电机基本结构,对比分析了相应的智能诊断方法,并给出每类算法的改进方法。通过对不同算法理论与实验的比较分析,给出了当前智能故障诊断方法在风力发电机应用领域中的现状、存在的问题。
With continuous increase of wind power installation capacity and the rising proportion of wind energy among all forms of energy supply,wind turbine fault diagnosis and fault prediction are in a high demand.Based on the categories of fault diagnosis and the basic structures of wind turbine,corresponding intelligent diagnosis methods are compared,and methods of improvement for each type of algorithm are proposed.By comparing the theory and experimental results of different algorithms,the present situation and existing problems of intelligent fault diagnosis methods for wind turbine applications are presented.
出处
《上海电机学院学报》
2017年第6期353-360,372,共9页
Journal of Shanghai Dianji University
基金
国家自然科学基金项目资助(11302123)
上海市浦江人才计划项目资助(15PJ1402500)
上海市教育委员会科研创新项目资助(14YZ163)
上海市教育委员会和上海市教育发展基金会"晨光计划"项目资助(13CG63)
关键词
风电机组
故障诊断
主要部件
智能算法
wind turbine
fault diagnosis
main component
intelligent algorithm
