Fuzzy Logic in Aircraft Onboard Systems Reliability Evaluation-A New Approach
Andrzej Żyluk1, Konrad Kuźma2, Norbert Grzesik2
1Air Force Institute of Technology, Księcia Boleslawa 6, 01-494 Warsaw, Poland.
Sensors (Basel, Switzerland)
|December 10, 2021
Summary
This study demonstrates fuzzy logic
Area of Science:
- Aerospace Engineering
- Systems Engineering
- Computational Intelligence
Background:
- Assessing airborne system reliability is critical for aviation safety.
- Classical probabilistic models have limitations in handling complex, uncertain data.
- Fuzzy logic offers a potential alternative for nuanced reliability assessment.
Purpose of the Study:
- To compare the effectiveness of classical probabilistic methods versus fuzzy logic for assessing aircraft gun system reliability.
- To develop and evaluate a fuzzy logic controller for airborne system reliability analysis.
- To analyze operational data and expert knowledge for system reliability.
Main Methods:
- Classical reliability analysis using Weibull distribution on operational data.
- Fuzzy set theory approach employing a Mamdani Type Fuzzy Logic Controller (Matlab).
- Expert knowledge acquisition via surveys for fuzzy controller design.
Main Results:
- Classical analysis determined basic reliability characteristics and the reliability function.
- Fuzzy logic controller successfully assessed reliability based on operation time, shots, and corrosion.
- Comparison showed fuzzy logic provides a viable method for reliability assessment.
Conclusions:
- Fuzzy logic is a suitable and effective tool for assessing the reliability of aircraft airborne systems.
- The developed fuzzy logic model complements traditional methods by incorporating expert knowledge and handling uncertainty.
- This research validates the application of fuzzy logic in complex aerospace reliability engineering.
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