Determining the Availability of Continuous Systems at Open Pits Applying Fuzzy Logic

Објеката

Тип
Рад у часопису
Верзија рада
објављена верзија
Језик
енглески
Креатор
Miljan Gomilanović, Miloš Tanasijević, Saša Stepanović
Извор
Energies
Издавач
MDPI AG
Датум издавања
2022
Сажетак
This work presents a model for determining the availability of continuous systems at open pits by applying fuzzy logic and fuzzy inference systems. The applied model was formed by the synthesis of independent partial indicators of availability. The model is based on an expert system for assessing the availability of continuous mining systems. The availability of the system, as a complex state parameter, is decomposed into the partial indicators, reliability, and convenience of maintenance, and the fuzzy compositions, used for integration the partial indicators, are the max–min and min–max compositions. The advantage of this model in comparison to the conventional models is that it takes into account the effect of practical indicators of availability, does not require long-term monitoring, and records necessary to determine the time picture of the system state. This model for determining the availability has a role to help responsible persons at open pits in the planning and control of exploitation, and the adoption of an appropriate maintenance strategy, all with the aim of stable production and cost reduction. The presented model can be used as a tool for the quick assessment of system availability, based on expert judgments and assessments.
том
15
Број
18
doi
10.3390/en15186786
issn
1996-1073
Subject
системи, континуални систем експоатације, површински коп, рударство, расположивост, фази логика, max–min композиција, min–max композиција
systems, ECC system, open pit, mining, availability, fuzzy logic, max–min composition, min–max composition
Шира категорија рада
M20
Ужа категорија рада
М23
Права
Затворени приступ
Лиценца
All rights reserved
Формат
.pdf

Miljan Gomilanović, Miloš Tanasijević, Saša Stepanović. "Determining the Availability of Continuous Systems at Open Pits Applying Fuzzy Logic" in Energies, MDPI AG (2022). https://doi.org/10.3390/en15186786

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