Abstract
This paper is a continuation of research into the possibility of using fuzzy logic to assess the reliability of a selected airborne system. The research objectives include an analysis of statistical data, a reliability analysis in the classical approach, a reliability analysis in the fuzzy set theory approach, and a comparison of the obtained results. The system selected for the investigation was the aircraft gun system. In the first step, after analysing the statistical (operational) data, reliability was assessed using a classical probabilistic model in which, on the basis of the Weibull distribution fitted to the operational data, the basic reliability characteristics were determined, including the reliability function for the selected aircraft system. The second reliability analysis, in a fuzzy set theory approach, was conducted using a Mamdani Type Fuzzy Logic Controller developed in the Matlab software with the Fuzzy Logic Toolbox package. The controller was designed on the basis of expert knowledge obtained by a survey. Based on the input signals in the form of equipment operation time (number of flying hours), number of shots performed (shots), and the state of equipment corrosion (corrosion), the controller determines the reliability of air armament. The final step was to compare the results obtained from two methods: classical probabilistic model and fuzzy logic. The authors have proved that the reliability model using fuzzy logic can be used to assess the reliability of aircraft airborne systems.
Highlights
Taking into account the increasing complexity of technical objects and the fact that their components interact with each other, reliability is determined using experimental data obtained during exploitation or during planned reliability tests [1]
Analysing the available literature with a particular emphasis on the applications of fuzzy logic and the reliability issues of technical systems [9]; Analysing available methods for estimating the systems reliability in a mathematical approach; Computing the reliability indicators of a selected airborne armament system, by means of a mathematical approach; Developing a reliability model of a selected airborne armament system by means of fuzzy logic; Assessing the reliability indicators of the aircraft armament system on the basis of the developed model, by means of fuzzy logic; Comparing the results obtained in the mathematical approach and the fuzzy set theory approach; Formulating and presenting the conclusions
The values of the reliability functions obtained from the model using fuzzy logic differ slightly from the values of the reliability functions determined using the empirical and theoretical Weibull distribution
Summary
Taking into account the increasing complexity of technical objects and the fact that their components interact with each other, reliability is determined using experimental data obtained during exploitation or during planned reliability tests [1]. Fuzzy logic and expert judgement have been successfully used to determine the probability of human error among nuclear plant operators. Other studies which use fuzzy logic, taking into account human error and uncertainty in failure data, aim at assessing the imprecise failure probability of level crossing systems in Morocco [17]. A maintenance-oriented milling machine reliability study using fuzzy logic and comparing it with the conventional method allowed a more accurate determination of the causes and consequences of failure [20]. Taking into consideration such a definition, the authors aim at checking whether the use of fuzzy logic alone may be used to assess the reliability of a selected onboard aircraft system For this purpose, an innovative reliability model of airborne air armament, based on expert knowledge, and a fuzzy controller was developed
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