Reliability analysis of martial arts arena robot systems based on fuzzy set theory

2018 ◽  
Vol 32 (11) ◽  
pp. 5069-5077 ◽  
Author(s):  
Guang-Jun Jiang ◽  
Le Gao
Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7913
Author(s):  
Andrzej Żyluk ◽  
Konrad Kuźma ◽  
Norbert Grzesik ◽  
Mariusz Zieja ◽  
Justyna Tomaszewska

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.


2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Harish Garg ◽  
Monica Rani ◽  
S. P. Sharma

The present paper investigates the reliability analysis of industrial systems by using vague lambda-tau methodology in which information related to system components is uncertain and imprecise in nature. The uncertainties in the data are handled with the help of intuitionistic fuzzy set (IFS) theory rather than fuzzy set theory. Various reliability parameters are addressed for strengthening the analysis in terms of degree of acceptance and rejection of IFS. Performance as well as sensitivity analysis of the system parameter has been investigated for accessing the impact of taking wrong combinations on its performance. Finally results are compared with the existing traditional crisp and fuzzy methodologies results. The technique has been demonstrated through a case study of bleaching unit of a paper mill.


2013 ◽  
Vol 03 (04) ◽  
pp. 337-348
Author(s):  
Mahbub Hasan ◽  
Salam Md. Mahbubush Khan ◽  
Chandrasekhar Putcha ◽  
Ashraf Al-Hamdan ◽  
Chance M. Glenn

1982 ◽  
Vol 1982 (325) ◽  
pp. 1-10 ◽  
Author(s):  
Naruhito SHIRAISHI ◽  
Hitoshi FURUTA ◽  
Kenji IKEJIMA

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