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NASA/CR-2001-210647
General Aviation Aircraft Reliability Study
Duane Pettit and Andrew Turnbull
FDC/NYMA, Inc., Hampton, Virginia
February 2001
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NASA/CR-2001-210647
General Aviation Aircraft Reliability Study
Duane Pettit and Andrew Turnbull
FDC/NYMA, Inc., Hampton, Virginia
National Aeronautics and
Space Administration
Langley Research Center
Prepared for Langley Research Center
Hampton, Virginia 23681-2199
under Contract NAS1-96013
February 2001
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(301) 621-0390
(703) 605-6000
Executive Summary
This reliability study was performed in order to provide the aviation community
with an estimate of Complex General Aviation (GA) Aircraft System reliability. To
successfully improve the safety and reliability for the next generation of GA aircraft, a
study of current GA aircraft attributes was prudent. This was accomplished by
benchmarking the reliability of operational Complex GA Aircraft Systems. Specifically,
Complex GA Aircraft System reliability was estimated using data obtained from the
logbooks of a random sample of the Complex GA Aircraft population.
The approach used to estimate the current reliability of Complex GA Aircraft
Systems included the following:
1. Define benchmark from population of GA aircraft (i.e., Complex GA
Aircraft).
2. Define Complex GA Aircraft Systems.
3. Identify source of failure data.
4. State ground rules and assumptions.
5. Collect data for a random sample of Complex GA Aircraft population.
6. Analyze data to identify proper distribution that models failure data.
7. Perform goodness-of-fit and bias tests to validate distribution fit and verify
sample randomness.
8. Estimate distribution parameters, system reliability, and system hazard rates.
The results of this analysis provide insight into the current reliability of Complex
GA Aircraft Systems. All of the reliability estimates shown below were based on a six-
hour flight. In addition, a ninety-five percent confidence was used to estimate the
reliability of the Airframe, Electrical, Powerplant, Flight Control and Ground Control
Systems. The Cockpit Instrumentation reliability estimate was performed in an earlier
report that is included in Appendix A. All system Reliability estimates are as follows:
System
Reliability Estimate
Airframe
0.99940
Electrical
0.99997
Powerplant
0.99986
Flight Control
0.98476
Ground Control
0.99598
Cockpit Instrumentation
0.976
) was used to
estimate Complex GA Aircraft System reliability. The goodness-of-fit tests and the bias
tests performed indicate that the Weibull distribution best fits the aircraft data for these
systems and that the sample used is not significantly biased. The results indicated that
the random sample of aircraft used, along with the Weibull distribution, was appropriate
for estimating the system reliabilities for the Complex GA Aircraft population.
b
and
a
i
In this report, the Weibull distribution (two-parameter,
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