Nonparametric Statistical Analysis of the Reliability of a Naval Aviation Propulsion System
Author
Millar, Richard C.
Mazzuchi, Thomas Andrew
Sarkani, Shahram
Date
2009Metadata
Show full item recordAbstract
This paper reports the results of applying lifetime (or reliability database) statistical analysis methods
to engine removal data recorded over the initial 8 years’ service of the General Electric F414-GE-400
turbofan engines propelling the F/A-18 E/F Super Hornet in service with the US Navy, with the intent
of better understanding the reasons for engine removal and their impact on engine time on wing
(TOW), and to gain an insight into the reliability of the modules and components from which the
engine is assembled. It was found that ‘‘coloring’’ the engine removals into three classes of reasons for
removal enabled lifetime data analysis revealing interesting and useful features of in-service engine
reliability. Nonparametric statistical analysis provided actionable information on engine removal
probability as a function of TOW and removal cause that should be applicable to planning flight
operations, line maintenance, and support logistics. The analysis of engine removals due to hot section
distress appears to disconfirm the presumption of independence between the three classes of
removal. Opportunistic maintenance of modules made accessible due to engine removals to service
other modules may significantly affect the observed engine removal distribution of the module of
interest, i.e., competing risk masks the underlying module hazard functions.
Description
The article of record as published may be located at http://dx.doi.org/10.1111/j.1559-3584.2009.00195.x
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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