摘要
Analytical redundancy of the advanced sensor failure detection isolation and fault sensor output reconstruction obviously enhance the reliability of aircraft engine controls.The Bayesian multiple hypothesis testing is applied to detection isolation and accommodation of the hard failure.The hypothesis conditioned errors,the covariance matrices of the cost function and the optimal estimate are obtained from a bank of Kalman filters.The example using the microcomputer based simulation indicates that the detective rate,the accuracy of output reconstruction and the detectable minimum range and so on has the advantage over the Kalman filter residual in hard failure.
Analytical redundancy of the advanced sensor failure detection isolation and fault sensor output reconstruction obviously enhance the reliability of aircraft engine controls.The Bayesian multiple hypothesis testing is applied to detection isolation and accommodation of the hard failure.The hypothesis conditioned errors,the covariance matrices of the cost function and the optimal estimate are obtained from a bank of Kalman filters.The example using the microcomputer based simulation indicates that the detective rate,the accuracy of output reconstruction and the detectable minimum range and so on has the advantage over the Kalman filter residual in hard failure.
出处
《航空动力学报》
EI
CAS
CSCD
北大核心
1992年第1期81-84,共4页
Journal of Aerospace Power
