کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4640412 1341274 2010 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Comparison of adaptive filters for gas turbine performance monitoring
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
Comparison of adaptive filters for gas turbine performance monitoring
چکیده انگلیسی

Kalman filters are widely used in the turbine engine community for health monitoring purpose. This algorithm has proven its capability to track gradual deterioration with a good accuracy. On the other hand, its response to rapid deterioration is either a long delay in recognising the fault, and/or a spread of the estimated fault in several components. The main reason of this deficiency lies in the transition model of the parameters that assumes a smooth evolution of the engine’s condition. The aim of this contribution is to compare two adaptive diagnosis tools that combine a Kalman filter and a secondary system that monitors the residuals. This auxiliary component implements on one hand a covariance matching scheme and on the other hand a generalised likelihood ratio test to improve the behaviour of the diagnosis tool with respect to abrupt faults.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational and Applied Mathematics - Volume 234, Issue 7, 1 August 2010, Pages 2202–2212
نویسندگان
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