Using updated knowledge and gained experience in engine control and maintenance, a specific on-condition maintenance concept of RD-33 engines installed on MiG-29s was developed. The engines had several built-in limitations: number of starts, number of hours at the maximum power and reheat, number of hours at the special regime of elevated temperatures, and time between overhauls (TBOs), that is, number of flight hours. During field data collection and analysis, it was found that engines worked with different working loads and different levels of life consumption. Hence, it was concluded that the limitation of TBO, expressed in terms of flight hours, do not represent actual engine health condition and that a new way of monitoring actual load needs to be introduced. An analysis of all flight profiles was carried out and a specific relation between flight hours and total accumulated cycles (TACs) was established. For this purpose, a distributed expert system in relation-operation unit—Air Force Technical Institute—overhaul depot was introduced. Each of the three participants has its own level of responsibility in the engine health monitoring, engine maintenance, and engine health condition decision-making process. Nondestructive inspection, remote visual inspection, spectral oil analysis, fault tolerant control techniques of hot engine parts, engine electronic control unit, airplane information-display system, engine performance trend monitoring, vibration monitoring, and postflight data analysis play key roles in the concept. It has been applied in practice since 1994; all faults were discovered right in time, and there were not any critical situations in flight. Detected faults were isolated and assessed for severity, so that the remaining useful life could be estimated. The original TBO was safely extended on the basis of TAC of up to more than 50% of the originally prescribed TBO hours, while maintaining the same safe margin.
Skip Nav Destination
Article navigation
Research Papers
On-Condition Maintenance for Nonmodular Jet Engines: An Experience
Mato F. Siladic,
Mato F. Siladic
Department of Aeronautics, Faculty of Mechanical Engineering,
University of Belgrade
, 11120 Belgrade, Yugoslavia
Search for other works by this author on:
Bosko P. Rasuo
Bosko P. Rasuo
Professor
Department of Aeronautics, Faculty of Mechanical Engineering,
University of Belgrade
, 11120 Belgrade, Yugoslavia
Search for other works by this author on:
Mato F. Siladic
Department of Aeronautics, Faculty of Mechanical Engineering,
University of Belgrade
, 11120 Belgrade, Yugoslavia
Bosko P. Rasuo
Professor
Department of Aeronautics, Faculty of Mechanical Engineering,
University of Belgrade
, 11120 Belgrade, YugoslaviaJ. Eng. Gas Turbines Power. May 2009, 131(3): 032502 (7 pages)
Published Online: January 29, 2009
Article history
Received:
November 22, 2007
Revised:
September 10, 2008
Published:
January 29, 2009
Citation
Siladic, M. F., and Rasuo, B. P. (January 29, 2009). "On-Condition Maintenance for Nonmodular Jet Engines: An Experience." ASME. J. Eng. Gas Turbines Power. May 2009; 131(3): 032502. https://doi.org/10.1115/1.3019104
Download citation file:
Get Email Alerts
Multi-Disciplinary Optimization of Gyroid Topologies for a Cold Plate Heat Exchanger Design
J. Eng. Gas Turbines Power
Comparison of Rim Sealing Effectiveness in Different Geometrical Configurations
J. Eng. Gas Turbines Power
Related Articles
A Hybrid Prognostic Model Formulation and Health Estimation of Auxiliary Power Units
J. Eng. Gas Turbines Power (March,2008)
F110-GE-132: Enhanced Power Through Low-Risk Derivative Technology
J. Turbomach (July,2001)
The Application of Expert Systems and Neural Networks to Gas Turbine Prognostics and Diagnostics
J. Eng. Gas Turbines Power (October,1999)
Multi-Attribute Decision Making Using Hypothetical Equivalents and Inequivalents
J. Mech. Des (November,2004)
Related Proceedings Papers
Related Chapters
Introduction
Computer Vision for Structural Dynamics and Health Monitoring
Inspection and Maintenance of Ageing Concrete Oil and Gas Structures on the Norwegian Continental Shelf
Ageing and Life Extension of Offshore Facilities
Computer Aided Manufacturing (CAM)
Computer Aided Design and Manufacturing