Subjects: Dynamic and Electric Engineering >> Electrical Engineering submitted time 2019-03-05 Cooperative journals: 《电气工程学报》
Abstract：为了提高风力发电机叶片故障的识别率，利用支持向量机建立风力发电机 叶片故障和特征参数之间的非线性关系。在蜂群算法中引入一种动态柯西因子，动态 调节蜂群寻优过程中的搜索步长，提高蜂群算法的扰动能力，避免蜂群陷入局部搜索， 采用这种动态柯西蜂群算法对支持向量机的参数寻优，建立动态柯西蜂群算法优化的 支持向量机模型。采集南方某风场风力发电机叶片的四种工况下的特征数据训练此模 型并进行故障诊断，诊断结果表明改进后的蜂群算法优化支持向量机模型能够提高风 力发电机叶片的故障识别率，具有一定的工程参考意义。
Subjects: Dynamic and Electric Engineering >> Electrical Engineering submitted time 2019-03-05 Cooperative journals: 《电气工程学报》
Abstract：为了提高风力发电机叶片故障的识别率，利用支持向量机建立风力发电机 叶片故障和特征参数之间的非线性关系。在蜂群算法中引入一种动态柯西因子，动态 调节蜂群寻优过程中的搜索步长，提高蜂群算法的扰动能力，避免蜂群陷入局部搜索， 采用这种动态柯西蜂群算法对支持向量机的参数寻优，建立动态柯西蜂群算法优化的 支持向量机模型。采集南方某风场风力发电机叶片的四种工况下的特征数据训练此模 型并进行故障诊断，诊断结果表明改进后的蜂群算法优化支持向量机模型能够提高风 力发电机叶片的故障识别率，具有一定的工程参考意义。
Subjects: Mechanical Engineering >> Other Disciplines of Mechanical Engineering submitted time 2018-06-15 Cooperative journals: 《电气工程学报》
Abstract： In order to improve the recognition rate of wind turbine blade fault diagnosis, the nonlinear relationship between fault diagnosis and characteristic parameters of wind turbine blade is established by using support vector machine. In the Cauchy artificial bee colony algorithm, a dynamic Cauchy factor is introduced to dynamically adjust the search step in the optimization process of the colony, to improve the perturbation ability of the colony algorithm, and to avoid the colony into the local search. A dynamic support vector machine model for dynamic Cauchy bee colony optimization is established. The model is trained and diagnosed by four conditions of a wind farm in the south. The results show that the support vector machine model can be improved based on the dynamic Cauchy artificial bee colony algorithm. Wind turbine generator fault recognition rate, with a certain engineering reference significance.
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