FAULT DETECTION FOR GAS TURBINE SENSORS USING I/O DYNAMIC LINEAR MODELS - METHODOLOGY OF FAULT CODE GENERATION

This paper presents a methodology of sensor diagnosis which appears to be particularly suitable also for application in the field of small/medium power size industrial gas turbines.The methodology is based on the Analytical Redundancy technique and uses ARX (Auto Regressive with eXternal input) MISO (Multi-Input/Single-Output) linear dynamic models obtained from time series data of the gas turbine operating condition. The linear models allow the on-line calculation of some measurable parameter starting from the values of other measured parameters. The comparison between computed and measured values of the same parameters allows setting-up a vector of residuals which, if compared with the columns of the fault matrix, permits the identification of a possible sensor fault.The initial applications of the methodology to a single-shaft industrial gas turbine show an unambiguous and certain detection and isolation of fault in sensors used both in the measurement only and in feedback by the machine control system.Copyright © 1996 by ASME

[1]  Jeffrey L. Stein.  Modeling and State Estimator Design Issues for Model-Based Monitoring Systems , 1993 .

[2]  Rolf Isermann,et al.  Process fault detection based on modeling and estimation methods - A survey , 1984, Autom..

[3]  Graham C. Goodwin,et al.  Fault Detection and Diagnosis in Gas Turbines , 1991 .

[4]  Janos J. Gertler,et al.  Analytical Redundancy Methods in Fault Detection and Isolation , 1991 .

[5]  Peter Young,et al.  Parameter estimation for continuous-time models - A survey , 1979, Autom..

[6]  Louis A. Urban,et al.  Gas Path Analysis Applied to Turbine Engine Condition Monitoring , 1973 .

[7]  R. Bettocchi,et al.  Experimental Validation of a Gas Turbine Cycle Model Based on a Simultaneous Solution Method , 1994 .

[8]  Rolf Isermann,et al.  Fault diagnosis of machines via parameter estimation and knowledge processing - Tutorial paper , 1991, Autom..

[9]  R. Bettocchi,et al.  Gas Turbine Cycle Modeling Oriented to Component Performance Evaluation from Limited Design or test Data , 1993 .

[10]  Janos Gertler,et al.  A new structural framework for parity equation-based failure detection and isolation , 1990, Autom..

[11]  John M. Gottman,et al.  Time Series Analysis: A Comprehensive Introduction for Social Scientists. , 1983 .

[12]  Katsuhiko Ogata,et al.  Discrete-time control systems , 1987 .

[13]  R. Bettocchi,et al.  Dynamic Modeling of Single-Shaft Industrial Gas Turbine , 1996 .

[14]  Paul M. Frank,et al.  Fault Diagnosis in Dynamic Systems , 1993, Robotics, Mechatronics and Manufacturing Systems.

[15]  J.J. Gertler,et al.  Survey of model-based failure detection and isolation in complex plants , 1988, IEEE Control Systems Magazine.

[16]  Ronald W. Kelly.  Application of Analytical Redundancy to the Detection of Sensor Faults on a Turbofan Engine , 1996 .

[17]  L. A. Urban.  Parameter Selection for Multiple Fault Diagnostics of Gas Turbine Engines , 1975 .