风力发电机叶轮故障识别方法  

Fault Identification for Wind Generator Impeller

作　　者：连赵斌 王馥华 陆轶[1] Lian Zhaobin;Wang Fuhua;Lu Yi

机构地区：[1]上海市质量监督检验技术研究院,上海200072

出　　处：《机械制造》2021年第10期17-20,共4页Machinery

基　　金：上海市科学技术委员会科研项目(编号:19DZ2291800)

摘　　要：针对长期使用的风力发电机叶轮,提出一种故障识别方法。这一故障识别方法基于鱼群算法-蚁群优化算法混合改进策略,在谋求优势互补的基础上,对相关参数进行优化,并采用近邻函数准则。介绍了风力发电机叶轮故障识别方法的步骤,通过仿真试验,验证了这一方法的有效性。Aiming at the wind turbine impeller with long-term use,a fault identification method was proposed.This fault identification method is built based on the hybrid improvement strategy of Swarm Algorithm-Ant Colony Optimization Algorithm.On the basis of seeking complementary advantages,the relevant parameters were optimized and the nearest neighbor function criterion was adopted.The steps of the fault identification method for the wind generator impeller were introduced,and the effectiveness of this method was verified through simulation tests.

关 键 词：风力发电机 叶轮 故障 识别 

分 类 号：TH6[机械工程—机械制造及自动化] TM315[电气工程—电机]