[go: up one dir, main page]

Stamatis et al., 1991 - Google Patents

Jet engine fault detection with discrete operating points gas path analysis

Stamatis et al., 1991

Document ID
11071475601867653757
Author
Stamatis A
Mathioudakis K
Berios G
Papailiou K
Publication year
Publication venue
Journal of Propulsion and Power

External Links

Snippet

GAS Path Analysis (GPA) methods are the methods which deal with the study of the fluid (gas) aerothermodynamic changes, as it flows through the different parts of a gas turbine. The idea on which such methods are based is the fact that any change in the performance of …
Continue reading at arc.aiaa.org (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults

Similar Documents

Publication Publication Date Title
Stamatis et al. Jet engine fault detection with discrete operating points gas path analysis
Stamatis et al. Optimal measurement and health index selection for gas turbine performance status and fault diagnosis
Dorr et al. Detection, isolation, and identification of sensor faults in nuclear power plants
Patton et al. Robust fault detection of jet engine sensor systems using eigenstructure assignment
Saravanamuttoo et al. Thermodynamic models for pipeline gas turbine diagnostics
Lambiris et al. Adaptive modeling of jet engine performance with application to condition monitoring
Martini et al. Data Reconciliation for power systems monitoring: Application to a microturbine-based test rig
US7451122B2 (en) Empirical design of experiments using neural network models
Pinelli et al. Gas turbine field performance determination: sources of uncertainties
Ng et al. A realistic simulation testbed of a turbocharged spark-ignited engine system: A platform for the evaluation of fault diagnosis algorithms and strategies
Ntantis et al. The impact of measurement noise in GPA diagnostic analysis of a gas turbine engine
Kerr et al. Real-time estimation of gas turbine engine damage using a control based Kalman filter algorithm
Sampath et al. Fault diagnosis of a two spool turbo-fan engine using transient data: A genetic algorithm approach
Kamboukos et al. Comparison of linear and non-linear gas turbine performance diagnostics
Baig et al. Model-based reasoning for fault diagnosis of twin-spool turbofans
Léonard et al. Adaptive estimation algorithm for aircraft engine performance monitoring
Bird et al. Diagnosis of turbine engine transient performance with model-based parameter estimation techniques
Butas et al. Rocket engine health monitoring using a model-based approach
Pinelli et al. Optimized operating point selection for gas turbine health state analysis by using a multi-point technique
Dewallef Application of the Kalman filter to health monitoring of gas turbine engines: A sequential approach to robust diagnosis
Bettocchi et al. Fault Detection for Gas Turbine Sensors Using I/O Dynamic Linear Models: Methodology of Fault Code Generation
Salar et al. Improving model-based gas turbine fault diagnosis using multi-operating point method
Campbell An investigation of distortion indices for prediction of stalling behavior in aircraft gas turbine engines
Nagashima et al. Development of failure diagnostic system for a reusable rocket engine using simulation
Kurzke et al. Model based performance analysis