DocumentCode
2376225
Title
Improving Model-Based Gas Turbine Fault Diagnosis Using Multi-Operating Point Method
Author
Salar, Amin ; Hosseini, SeyedMehrdad ; Sedigh, Ali Khaki ; Zangmolk, Behnam Rezaei
Author_Institution
Dept. of Electr. Eng., K.N. Toosi Univ. of Technol., Tehran, Iran
fYear
2010
fDate
17-19 Nov. 2010
Firstpage
240
Lastpage
247
Abstract
A comprehensive gas turbine fault diagnosis system has been designed using a full nonlinear simulator developed in Turbotec company for the V94.2 industrial gas turbine manufactured by Siemens AG. The methods used for detection and isolation of faulty components are gas path analysis (GPA) and extended Kalman filter (EKF). In this paper, the main health parameter degradations namely efficiency and flow capacity of the compressor and turbine sections are estimated and the responsible physical faults such as fouling and erosion are found. Two approaches are tested: The single-operating point and the multi-operating point. Simulation results show good estimations for diagnosis of most of the important degradations in the compressor and turbine sections for the single-point and improved estimations for the multi-point approach.
Keywords
Kalman filters; condition monitoring; fault diagnosis; gas turbines; EKF; Turbotec; erosion; extended Kalman filter; fault detection; fault diagnosis system; fault isolation; fouling; gas path analysis; gas turbines; multioperating point method; extended Kalman filter; fault diagnosis; gas turbine; monitoring; simulator;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Modeling and Simulation (EMS), 2010 Fourth UKSim European Symposium on
Conference_Location
Pisa
Print_ISBN
978-1-4244-9313-5
Electronic_ISBN
978-0-7695-4308-6
Type
conf
DOI
10.1109/EMS.2010.47
Filename
5703690
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