科技创新与应用2025，Vol.15Issue(7)：67-70,4.DOI:10.19981/j.CN23-1581/G3.2025.07.017
基于非线性状态估计算法的风机设备故障预警模型研究
张劲戈1
作者信息
- 1. 英飞同仁风机股份有限公司,上海 201806
- 折叠
摘要
Abstract
This paper proposes a wind turbine equipment fault early warning model based on nonlinear state estimation algorithm(NSET).The model monitors and analyzes key parameter data of wind turbines in real time,uses NSET algorithm to estimate state,and judges the health status of the equipment through the residual error between the predicted value and the actual value.Research results show that the model can warn potential faults in advance,effectively reduce equipment downtime,and improve the operating efficiency and economic benefits of the wind farm.In addition,the model also has adaptive adjustment capabilities and can be dynamically updated as the system state changes,thereby improving the accuracy and reliability of fault warning.关键词
非线性状态估计/风机设备/故障预警模型/残差分析/风电场Key words
nonlinear state estimation/wind turbine equipment/fault early warning model/residual analysis/wind farm分类
信息技术与安全科学引用本文复制引用
张劲戈..基于非线性状态估计算法的风机设备故障预警模型研究[J].科技创新与应用,2025,15(7):67-70,4.
