摘要
针对风电机组工作环境恶劣,其发电机、齿轮箱等关键部件可靠性难以准确评估的问题,文中以某型号风机齿轮箱为例,提出了一种基于改进威布尔分布模型的可靠性评估方法。该方法对传统的平均秩次法进行了优化,克服了传统平均秩次法只考虑每个非停机故障发生的位置,而未考虑停机故障区间长度对结果的影响,造成参数估计误差的问题。在考虑风电机组关键部件的停机故障数据与非停机故障数据的基础上,分别采用威布尔分布模型与改进威布尔分布模型对风电机组关键部件进行评估。进一步得到可靠度函数曲线与失效率函数曲线,并对其进行相关分析。通过实例分析,对比两种模型的参数估计结果,验证了提出的新方法可以计算出精确度更高的参数,使得评估结果更加符合风电机组运行的实际情况。
Aiming at the problem that the reliability of key components such as generator and gearbox of wind turbine is difficult to be accurately evaluated due to the severe working environment of wind turbine,a reliability evaluation method based on improved Weibull distribution model is proposed by taking the gearbox of a certain type of wind turbine as an example.This method optimizes the traditional mean rank method,and overcomes the problem that the traditional mean rank method only considers the location of each non-outage fault,without considering the influence of the length of outage fault interval on the results,resulting in parameter estimation error.The Weibull distribution model and the improved Weibull distribution model are adopted to evaluate the key components of wind turbine based on the outage and non-outage data of the key components of wind turbine.The reliability function curve and failure rate function curve are obtained,and the correlation analysis is conducted.Through case analysis and comparison of parameter estimation results of the two models,it is verified that the proposed novel method can calculate parameters with higher accuracy,making the evaluation results more in line with the actual situation of wind turbine operation.
作者
秦子川
苏宏升
Qin Zichuan;Su Hongsheng(Lanzhou Jiaotong University,Lanzhou 730070,China)
出处
《电测与仪表》
北大核心
2021年第3期68-73,共6页
Electrical Measurement & Instrumentation
基金
国家自然科学基金(61867003)。
关键词
风电机组
可靠性
最小二乘法
改进威布尔分布
wind turbine
reliability
least square method
improved Weibull distribution
