Engine maintenance costs are a major contributor to the direct operating costs of aircraft. Therefore, the minimization of engine maintenance costs per flight-hour is a key aspect for airlines to operate successfully under challenging market conditions. Minimization can be achieved by increasing the on-wing time or by reducing the shop-visit costs. Combining both provides optimum results and can only be achieved by thorough understanding of the engine. In the past, maintenance optimization was mainly an experience-based process. In this work, a novel analytical approach is presented to optimize the maintenance of commercial turbofan engines. A real engine fleet of more than 100 long-haul engines is used to demonstrate the application. The combination of advanced diagnostic and simulation methods with classical hardware-based failure analysis enables linking of overall engine performance with detailed hardware condition and, thus, an effective optimization of the overall maintenance process.
Optimization of Aero Gas Turbine Maintenance Using Advanced Simulation and Diagnostic Methods
Contributed by the Controls, Diagnostics and Instrumentation Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received May 7, 2013; final manuscript received March 31, 2014; published online May 16, 2014. Assoc. Editor: Allan Volponi.
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Kraft, J., Sethi, V., and Singh, R. (May 16, 2014). "Optimization of Aero Gas Turbine Maintenance Using Advanced Simulation and Diagnostic Methods." ASME. J. Eng. Gas Turbines Power. November 2014; 136(11): 111601. https://doi.org/10.1115/1.4027356
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