支持向量回归参数估计在风电机组故障模式分析中的应用

尹浩霖; 王达梦; 马志勇; 曾星明; 柳亦兵

doi:10.13433/j.cnki.1003-8728.20180039

支持向量回归参数估计在风电机组故障模式分析中的应用

doi: 10.13433/j.cnki.1003-8728.20180039

1.
西安理工大学水利水电学院, 西安 710032;
2.
中国电力建设股份有限公司, 北京 100048;
3.
华北电力大学电站设备状态监测与控制教育部重点实验室, 北京 102206

基金项目:

国家自然科学基金项目（51775186）与河北省科技计划项目（15214307D）资助

详细信息

作者简介:
尹浩霖(1987-),工程师,博士研究生,研究方向为风电设备运行维护,545107211@qq.com

通讯作者:
柳亦兵,教授,博士生导师,博士,lyb@ncepu.edu.cn

计量
- 文章访问数: 250
- HTML全文浏览量: 41
- PDF下载量: 50
- 被引次数: 0
出版历程
- 收稿日期: 2017-10-12
- 刊出日期: 2018-11-05

Application of Support Vector Regression Parameter Estimation to Fault Mode Analysis in Wind Turbines

1.
Institute of Water Resources and Hydro-electric Engineering, Xi'an University of Technology, Xi'an 710032, China;
2.
China Electric Power Constructing Co., Ltd., Beijing 100048, China;
3.
The Ministry of Education Key Laboratory of Condition Monitoring and Control for Power Plant Equipment, North China Electric Power University, Beijing 102206, China

摘要

摘要: 风轮系统的可靠与否直接影响着风电机组的安全运行，有必要对其建立合理的可靠性模型并准确估计模型参数，以反映其真实可靠性情况。威布尔分布模型被广泛应用于各领域的可靠性建模，支持向量回归机（SVR）保持了支持向量机适用于小样本的特性，可用于小样本数据可靠性模型的参数估计。以某个风电场投运以来的风轮系统故障数据为基础，建立其威布尔分布模型，采用SVR估计模型参数，并与传统的基于最小二乘法的参数估计结果对比，结果表明，采用SVR估计模型参数具有更高的准确性，更适合于小样本数据可靠性模型的参数估计。
- 风电机组 /
- 风轮系统 /
- 支持向量回归机 /
- 威布尔分布 /
- 参数估计
Abstract: Reliability of rotor systems directly affects safe operation of the whole wind turbines. Therefore, it's necessary to establish reliability model reasonably and estimate its parameter accurately, to reflect the real reliability of rotor systems. Weibull distribution is widely used to reliability modeling in various fields. Support vector regression (SVR) maintaining the feature, suiting for small samples, the support vectors machine can be used to estimate reliability model parameters under small sample data. Based on rotor system fault data from a certain field since putting into operation, the reliability model of which is established, parameters of model are estimated by SVR, the estimating result is compared with that of traditional least square parameter estimation, and the final result indicates that the parameter estimation method based on SVR is more accurate, and more suitable to small sample data.
- wind turbine /
- rotor system /
- support vector regression /
- Weibull distribution /
- parameter estimation

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参考文献(26)

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