Fuzzy Model for Risk Assessment of Machinery Failures
Објеката
- Тип
- Рад у часопису
- Верзија рада
- објављена верзија
- Језик
- енглески
- Креатор
- Dejan V. Petrović, Miloš Tanasijević, Saša Stojadinović, Jelena Ivaz, Pavle Stojković
- Извор
- Symmetry
- Издавач
- MDPI AG
- Датум издавања
- 2020
- Сажетак
-
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 - том
- 12
- издање
- 4
- doi
- 10.3390/sym12040525
- issn
- 2073-8994
- Subject
- fazi teorija, rizik, otkaz rudarskih mašina
- fuzzy theory, risk, mining machinery failure
- Шира категорија рада
- M20
- Ужа категорија рада
- М22
- Права
- Отворени приступ
- Лиценца
- Creative Commons – Attribution-NonComercial-Share Alike 4.0 International
- Формат
- Медија
symmetry-12-00525 (1).pdf
Dejan V. Petrović, Miloš Tanasijević, Saša Stojadinović, Jelena Ivaz, Pavle Stojković. "Fuzzy Model for Risk Assessment of Machinery Failures" in Symmetry, MDPI AG (2020). https://doi.org/10.3390/sym12040525
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