Applying the Fuzzy Inference Model in Maintenance Centered to Safety

Jovančić, Predrag; Tanasijević, Miloš; Milisavljevic, Vladimir; Cvjetić, Aleksandar; Ivezić, Dejan; Bugarić, Uglješa

doi:10.4018/978-1-7998-3904-0.ch009

Cited by 5 publications

(2 citation statements)

References 25 publications

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“…In the paper entitled "Applying the Fuzzy Inference Model in Maintenance Centered to Safety: Case Study-Bucket Wheel Excavator", Jovančić et al [4] use the Fuzzy Inference Model to promote safety-centered maintenance, which has undergone online adaptation to work conditions. The model was tested on a case study of two SRs 1200 and SchRs 630 bucket wheel excavators.…”

Section: Literature Reviewmentioning

confidence: 99%

Determining the Availability of Continuous Systems in Open Pits Using ANFIS and a Simulation Model

Gomilanovic,

Bugaric,

Bankovic

et al. 2024

Energies

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This paper presents a model for determining the availability of continuous systems at open pits using the neuro-fuzzy system. The concept of availability is divided into partial indicators (synthetic indicators and sub-indicators). The presented model in relation to already existing models for determining availability uses a combination of the advantages of artificial neural networks and fuzzy logic. The case study addressed the I ECC (bucket wheel excavator–conveyors–crushing plant) system of the open pit Drmno, Kostolac. In this paper, in addition to the ANFIS model for determining the availability of continuous systems, a simulation model was developed. The obtained results of the ANFIS model were verified with the help of a simulation model that uses certain assumptions about the distribution of failures. This paper was created as a result of several years of field and theoretical research into the availability of continuous systems in open pits, and completes a cycle that consists of several published articles on the subject of modeling the behavior of these systems in real time using a time picture of the state, expert assessment, simulation and AI models, while respecting the multidisciplinarity of the problem (mining technological, mechanical, and information technological aspects). The developed ANFIS model is a key instrument for improving operational efficiency and resource management in the mining sector. Its ability to accurately predict the availability of the ECC system brings not only operational benefits through reduced downtime and optimized maintenance, but also a potential reduction in overall costs at coal open pits. Such an innovative model marks a significant step forward in the mining industry, especially when it comes to continuous systems in coal open pits.

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Section: Literature Reviewmentioning

confidence: 99%

Determining the Availability of Continuous Systems in Open Pits Using ANFIS and a Simulation Model

Gomilanovic,

Bugaric,

Bankovic

et al. 2024

Energies

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“…In the paper entitled "Applying the Fuzzy Inference Model in Maintenance Centered to Safety: Case Study -Bucket Wheel Excavator" by Jovančić P. et al [10] the safety-focused maintenance according to the adaptive fuzzy inference model is promoted, which has online adaptation to operating conditions. The input parameters for this model are indicators of the service quality of the analyzed engineering system: reliability, maintainability, consequence, severity and observability of fai-lures.…”

Section: Literature Reviewmentioning

confidence: 99%

Overview of application the Soft Computing methods in the field of mining in our country and in the world

Stanić¹,

Gomilanović²,

Stepanovic³

et al. 2022

Min Metal Eng Bor

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Application of the Soft computing in the mining industry is of great importance. This paper shows only a part of the published scientific and professional articles on application the Soft Computing methods in our country and in the world in the field of mining. Originally, the Soft Computing methods arose from the need to analyze the complex processes and problems in a quick and simple way with relatively little knowledge of the influencing parameters. Considering that the mining problem is related to numerous and largely insufficiently investigated influential factors, the soft computing methods are widely applied in this area and their application leads to an improvement in understanding the mutual influence of natural and technical-technological factors in the processes of exploitation, selection and maintenance of the basic and auxiliary mining equipment, the impact of mining operations on the environment, social environment and other aspects of mining activities.

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Solving Fuzzy Equations Based on Fuzzy Interval Bisection Method for Intelligent Data Processing in Cyber-Physical Systems

Semenov

Tselishcheva

2022

System Analysis in Engineering and Control

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Applying the Fuzzy Inference Model in Maintenance Centered to Safety

Cited by 5 publications

References 25 publications

Determining the Availability of Continuous Systems in Open Pits Using ANFIS and a Simulation Model

Determining the Availability of Continuous Systems in Open Pits Using ANFIS and a Simulation Model

Overview of application the Soft Computing methods in the field of mining in our country and in the world

Solving Fuzzy Equations Based on Fuzzy Interval Bisection Method for Intelligent Data Processing in Cyber-Physical Systems

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