CASIA OpenIR  > 数字内容技术与服务研究中心  > 智能技术与系统工程
黄强1,2; 王健1; 张桂刚1
Source Publication传感技术学报
Other AbstractIn order to diagnose aero-engine sensors’faults accurately and quickly, the engine sensors’hard fault diagnosis of constant deviation,constant gain, stuck are achieved with the residual test fault diagnosis module based on Kalman filter. The module is designed in Simulink. There is a big delay in detection of soft fault with traditional residual test method based on Kalman filter, so the improved method is adopted to detect fault and compared with the traditional method. Simulation result show that the traditional residual test method based on Kalman filter can effectively diagnose several typical aero-engine sensors’hard faults,but it is insensitive to soft fault detection. The improved method can accelerate the speed of detection and achieve a good performance.
Keyword测试计量技术及仪器 故障诊断 卡尔曼滤波器 残差检验 航空发动机传感器
DOI10. 3969 /j. issn. 1004-1699. 2014. 10. 003
Indexed ByCSCD
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Cited Times:3[CSCD]   [CSCD Record]
Document Type期刊论文
Corresponding Author张桂刚
Recommended Citation
GB/T 7714
黄强,王健,张桂刚. 一种航空发动机传感器故障诊断方法[J]. 传感技术学报,2014,27(10):1315-1320.
APA 黄强,王健,&张桂刚.(2014).一种航空发动机传感器故障诊断方法.传感技术学报,27(10),1315-1320.
MLA 黄强,et al."一种航空发动机传感器故障诊断方法".传感技术学报 27.10(2014):1315-1320.
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