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
Link To Document :
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