CAO Jie, REN Qian, WANG Jinhua. Fault diagnosis for pitch system of wind turbines based on multi-model PF[J]. 2019, (12): 148-152. DOI: 10.13873/j.1000-9787(2019)12-0148-05.
基于多模型PF的风力机桨距系统的故障诊断
摘要
针对风力机桨距系统建模不精确导致的故障分离不准确的问题
提出了一种J散度与多模型结合的故障分离方法。首先在风力机桨距系统多故障模型的基础上
通过粒子滤波(PF)对风力机桨距系统的状态进行估计;然后引入一个带宽系数对自适应阈值进行优化
以提高桨距系统故障检测的实时性和精确性;最后计算实际系统输出与每个故障模型输出的J散度
判断故障类型
提高故障分离的准确性。研究结果表明:该方法明显提高了桨距系统故障诊断的准确性
同时减少了计算时间。
Abstract
In view of the problem of inaccuracy of the fault separation caused by inaccurate modeling of the wind turbine variable pitch system
a fault separation method combining J divergence and multi-model is proposed.Firstly
the state of the system is estimated by particle filtering(PF) based on the multi-fault model of the wind turbine pitch system. Then a bandwidth coefficient is introduced to optimize the adaptive threshold to improve the real-time and accuracy of the fault detection. Finally
the J divergence of the output of the actual system and the output of each fault model are calculated
and determines the fault type and increase accuracy of fault separation.Research results show that the method significantly improve the accuracy of the fault diagnosis and reduce the calculation time.