초록 ▼

A method of tracking a system (1) having sensors (3) (e.g. gas turbine engines) by providing a computer model (4) which, from changes in sensor readings, can track (follow) changes in performance parameters of the system. These may be e.g. efficiencies of various of components such as compressors an

A method of tracking a system (1) having sensors (3) (e.g. gas turbine engines) by providing a computer model (4) which, from changes in sensor readings, can track (follow) changes in performance parameters of the system. These may be e.g. efficiencies of various of components such as compressors and turbines. In the common embodiment, the method used (Singular Value Decomposition) is a way of computing the most likely solution when there are more performance parameters than the number of sensors used and thus a degree of redundancy. The method allows system diagnosis and most importantly a tracked model allows the selection of a tailored control regime (9) which results in optimum efficiency for the individual system (engine).

대표청구항 ▼

[ What is claimed is:] [1.] A method of monitoring changes in an engine, said method specifically monitoring n performance parameters of said engine by means of n performance parameters changes in the form of a multidimensional vector dP, said engine having a plurality of control inputs and resultin

[ What is claimed is:] [1.] A method of monitoring changes in an engine, said method specifically monitoring n performance parameters of said engine by means of n performance parameters changes in the form of a multidimensional vector dP, said engine having a plurality of control inputs and resulting in m engine outputs, where n and m are positive integers with n greater than m, said method comprising the steps of:(i) providing a computer model of the engine, said model having a plurality of control inputs and having m model outputs;(ii) initializing said multidimensional vector dP to zero;(iii) storing at least one non-square matrix C of sensitivity coefficients which relates changes in performance parameters of the engine dP to a vector of differences between engine sensor outputs and computer model outputs dx, where dx=CdP;(iv) operating said engine;(v) computing said m model outputs based upon said plurality of control inputs and said vector of performance chances dP;(vi) comparing said computed m model outputs to m sensor engine outputs and calculating a vector of output sensor changes dx;(vii) applying singular value decomposition to compute a revised dPe, where C=US.sup.S :0V.sup.T and V.sub.R (S.sup.S).sup.-1 U.sup.T is the pseudoinverse of C.