首页 | 官方网站   微博 | 高级检索  
     

基于混合卡尔曼滤波器组故障传感器定位方法
引用本文:梁红,靳成学.基于混合卡尔曼滤波器组故障传感器定位方法[J].航空发动机,2019,45(2):65-68.
作者姓名:梁红  靳成学
作者单位:中国核电工程有限公司郑州分公司,郑州,450052;中国船舶重工集团公司第七一三研究所,郑州,450015
摘    要:为了在发动机性能蜕化与传感器故障并存的情况下实现故障传感器的定位与部件蜕化情况的估计,并实现故障诊断基准数据的修正,构建了1种包含了机载模型与线性卡尔曼滤波器的组合结构混合卡尔曼滤波器组。该卡尔曼滤波器组能够在之前所描述的故障/蜕化耦合情况下定位故障传感器,并得到较为准确的部件蜕化估计结果。为了验证了混合卡尔曼滤波器组的有效性,进行了相关仿真。仿真结果表明:混合卡尔曼滤波器组能够在发动机动态过程中遭遇传感器故障与部件蜕化并存的情况下完成故障定位与蜕化估计。

关 键 词:传感器  故障  蜕化  过渡态  混合卡尔曼滤波器  滤波器组  航空发动机

Sensor Fault Location Based on Bank of Hybrid Kalman Filters
Authors:LIANG Hong  JIN Cheng-xue
Affiliation:1. Zhengzhou Branch,China Nuclear Power Engineering Co.,Ltd,Zhengzhou 450052,China; 2. Seventh Thirteen Institute of China Shipbuilding Industry Corporation,Zhengzhou 450015,China
Abstract:In order to realize the estimation of sensor fault location and component degradation during the coexisting of sensor fault and component degradation,and to correct the datum data of fault diagnosis,a bank of hybrid Kalman filters was constructed. The bank of hybrid Kalman filters was a combined structure of on-board engine model and linear Kalman filter. The bank of Kalman filter could locate the sensor fault in the case of fault / degradation coupling described previously and get a more accurate result of component degradation estimation. In order to verify the validity of the bank of hybrid Kalman filters,the relevant simulation was carried out. From the simulation results,it can be seen that the bank of hybrid Kalman filters can complete fault location and degradation estimation when the sensor fault and component degradation coexist during the dynamic process of the engine.
Keywords:sensor  fault  degradation  transition state  hybrid Kalman filter  bank of filters  aeroengine
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《航空发动机》浏览原始摘要信息
点击此处可从《航空发动机》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号