Collected Item: “Fuzzy Model for Risk Assessment of Machinery Failures”
Врста публикације
Рад у часопису
Верзија рада
објављена верзија
Језик рада
енглески
Аутор/и (Милан Марковић, Никола Николић)
Dejan V. Petrović, Miloš Tanasijević, Saša Stojadinović, Jelena Ivaz, Pavle Stojković
Наслов рада (Наслов - поднаслов)
Fuzzy Model for Risk Assessment of Machinery Failures
Наслов часописа
Symmetry
Издавач (Београд : Просвета)
MDPI AG
Година издавања
2020
Сажетак на енглеском језику
The main goal of this research was the development of an algorithm for the implementation
of negative risk parameters in a synthesis model for a risk level assessment for a specific machine used
in the mining industry. Fuzzy sets and fuzzy logic theory, in combination with statistical methods,
were applied to analyze the time picture state of the observed machine. Fuzzy logic is presented
through fuzzy proposition and a fuzzy composition module. Using these tools, the symmetric position
of the fuzzy sets with regard to class was used, and the symmetric fuzzy inference approach was used
in an outcome calculation. The main benefit of the proposed model is being able to use numerical
and linguistic data in a risk assessment model. The proposed risk assessment model, using fuzzy
logic conclusions and min–max composition, was used on a mobile crushing machine. The results
indicated that the risk level of the mobile crushing machine was in the “high” category, which means
that it is necessary to introduce maintenance policies based on this high risk. The proposed risk
assessment model is useful for any engineering system
of negative risk parameters in a synthesis model for a risk level assessment for a specific machine used
in the mining industry. Fuzzy sets and fuzzy logic theory, in combination with statistical methods,
were applied to analyze the time picture state of the observed machine. Fuzzy logic is presented
through fuzzy proposition and a fuzzy composition module. Using these tools, the symmetric position
of the fuzzy sets with regard to class was used, and the symmetric fuzzy inference approach was used
in an outcome calculation. The main benefit of the proposed model is being able to use numerical
and linguistic data in a risk assessment model. The proposed risk assessment model, using fuzzy
logic conclusions and min–max composition, was used on a mobile crushing machine. The results
indicated that the risk level of the mobile crushing machine was in the “high” category, which means
that it is necessary to introduce maintenance policies based on this high risk. The proposed risk
assessment model is useful for any engineering system
Волумен/том или годиште часописа
12
Број часописа
4
DOI број
10.3390/sym12040525
ISSN број часописа
2073-8994
Кључне речи на српском (одвојене знаком ", ")
fazi teorija, rizik, otkaz rudarskih mašina
Кључне речи на енглеском (одвојене знаком ", ")
fuzzy theory, risk, mining machinery failure
Линк
https://www.mdpi.com/2073-8994/12/4/525/pdf
Шира категорија рада према правилнику МПНТ
M20
Ужа категорија рада према правилнику МПНТ
М22
Степен доступности
Отворени приступ
Лиценца
Creative Commons – Attribution-NonComercial-Share Alike 4.0 International
Формат дигиталног објекта
.pdf