| 梁红1，靳成学2.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 |
| 基于混合卡尔曼滤波器组故障传感器定位方法 |
| Sensor Fault Location Based on Bank of Hybrid Kalman Filters |
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| DOI： |
| 中文关键词: 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 |
| 英文关键词:sensor fault degradation transition state hybrid Kalman filter bank of filters aeroengine |
| 基金项目: |
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| 摘要点击次数: 1493 |
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| 中文摘要: |
| 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 |
| 英文摘要: |
| 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. |
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