Title :
Observable degree analysis of heavy-duty gas turbine based on svd method
Author :
Pu, Xingxing ; Liu, Shangming ; Jiang, Hongde
Author_Institution :
Key Lab. for Thermal Sci. & Power Eng. of Minist. of Educ., Tsinghua Univ., Beijing, China
Abstract :
A new method of the observable degree analysis based on the singular value decomposition of the observable matrix was proposed. The method can be used to calculate each state´s observable degree more correctly. Two commonly used methods, condition number method and singular value decomposition method, of observable degree analysis were united, and the feature of the two methods was analyzed. The proposed method was applied to analyze the states observable degree of a heavy-duty gas turbine at different conditions, and the result can be used to assess the effectiveness of gas path fault diagnostic schemes quantitatively.
Keywords :
fault diagnosis; gas turbines; singular value decomposition; SVD method; gas path fault diagnostic schemes; heavy-duty gas turbine; observable degree analysis; observable matrix; singular value decomposition; state observable degree; Engines; Extraterrestrial measurements; Filtering theory; Kalman filters; Navigation; Observability; Turbines; gas path diagnosis; observable degree; singular value decomposition;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5988569