Reliable methods for diagnosing faults and detecting degraded performance in gas turbine engines are continually being sought. In this paper, a model-based technique is applied to the problem of detecting degraded performance in a military turbofan engine from take-off acceleration-type transients. In the past, difficulty has been experienced in isolating the effects of some of the physical processes involved. One such effect is the influence of the bulk metal temperature on the measured engine parameters during large power excursions. It will be shown that the model-based technique provides a simple and convenient way of separating this effect from the faster dynamic components. The important conclusion from this work is that good fault coverage can be gleaned from the resultant pseudo-steady-state gain estimates derived in this way.
Skip Nav Destination
Article navigation
April 1994
Research Papers
Fault Diagnosis in Gas Turbines Using a Model-Based Technique
G. L. Merrington
G. L. Merrington
DSTO, Aeronautical Research Laboratory, Victoria, Australia
Search for other works by this author on:
G. L. Merrington
DSTO, Aeronautical Research Laboratory, Victoria, Australia
J. Eng. Gas Turbines Power. Apr 1994, 116(2): 374-380 (7 pages)
Published Online: April 1, 1994
Article history
Received:
February 12, 1993
Online:
April 24, 2008
Citation
Merrington, G. L. (April 1, 1994). "Fault Diagnosis in Gas Turbines Using a Model-Based Technique." ASME. J. Eng. Gas Turbines Power. April 1994; 116(2): 374–380. https://doi.org/10.1115/1.2906830
Download citation file:
Get Email Alerts
Image-based flashback detection in a hydrogen-fired gas turbine using a convolutional autoencoder
J. Eng. Gas Turbines Power
Fuel Thermal Management and Injector Part Design for LPBF Manufacturing
J. Eng. Gas Turbines Power
An investigation of a multi-injector, premix/micromix burner burning pure methane to pure hydrogen
J. Eng. Gas Turbines Power
Related Articles
Measurement Selections for Multicomponent Gas Path Diagnostics Using Analytical Approach and Measurement Subset Concept
J. Eng. Gas Turbines Power (November,2011)
Operation of Gas Turbine Engines in Volcanic Ash Clouds
J. Eng. Gas Turbines Power (October,1996)
LES Predictions of Noise Emissions From a Low-Bypass Ratio Military Gas Turbine Engine
J. Eng. Gas Turbines Power (April,2011)
Bayesian Network Approach for Gas Path Fault Diagnosis
J. Eng. Gas Turbines Power (January,2006)
Related Proceedings Papers
Related Chapters
Reassessment
Air Engines: The History, Science, and Reality of the Perfect Engine
By Intuition, or by Design?
Air Engines: The History, Science, and Reality of the Perfect Engine
Outlook
Closed-Cycle Gas Turbines: Operating Experience and Future Potential