کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7126520 | 1461540 | 2014 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Generalized Rayleigh quotient based innovation covariance testing applied to sensor/actuator fault detection
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موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
A new approach based on the generalized Rayleigh quotient for testing the innovation covariance of the Kalman filter is proposed. The optimization process of testing quality is reduced to the classical problem of maximization of the generalized Rayleigh quotient. In the simulations, the longitudinal and lateral dynamics of the F-16 aircraft model are considered, and the detection procedure of sensor/actuator faults, which affect the innovation covariance, is examined. Comparison of the proposed generalized Rayleigh quotients based algorithms for testing the innovation covariance is performed in the sense of the fastest detection of a fault and the detected minimum fault rate. Some recommendations for the fastest detection of the fault are given.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Measurement - Volume 47, January 2014, Pages 804-812
Journal: Measurement - Volume 47, January 2014, Pages 804-812
نویسندگان
Chingiz Hajiyev,