dc.contributor | Martinetti, Alberto | |
dc.contributor | Demichela, Micaela | |
dc.contributor | Singh, Sarbjeet | |
dc.creator | Jovančić, Predrag | |
dc.creator | Tanasijević, Miloš | |
dc.creator | Milisavljević, Vladimir | |
dc.creator | Cvjetić, Aleksandar | |
dc.creator | Ivezić, Dejan | |
dc.creator | Bugarić, Uglješa | |
dc.date.accessioned | 2023-03-12T07:22:21Z | |
dc.date.available | 2023-03-12T07:22:21Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | https://www.igi-global.com/chapter/applying-the-fuzzy-inference-model-in-maintenance-centered-to-safety/255364 | |
dc.identifier.uri | https://machinery.mas.bg.ac.rs/handle/123456789/5841 | |
dc.description.abstract | The main idea of this chapter is to promote maintenance centered to safety, in accordance to adaptive
fuzzy inference model, which has online adjustment to working conditions. Input data for this model are
quality of service indicators of analyzed engineering system: reliability, maintainability, failure consequence,
and severity and detectability. Indicators in final form are obtained with permanent monitoring
of the engineering system and statistical processing. Level of safety is established by composition and
ranking of indicators according to fuzzy inference engine. The problem of monitoring and processing
of indicators comprising safety is solved by using the features that Industry4.0 provides. Maintenance
centered to safety is important for complex, multi-hierarchy engineering systems. Sudden failures on
such systems could have significant financial and environmental effect. Developed model will be tested
in the final part of the chapter, in the case study of bucket wheel excavator. | sr |
dc.language.iso | en | sr |
dc.publisher | IGI Global | sr |
dc.rights | closedAccess | sr |
dc.source | Applications and Challenges of Maintenance and Safety Engineering in Industry 4.0 | sr |
dc.title | Applying the Fuzzy Inference Model in Maintenance Centered to Safety: Case Study–Bucket Wheel Excavator | sr |
dc.type | bookPart | sr |
dc.rights.license | ARR | sr |
dc.citation.epage | 165 | |
dc.citation.spage | 142 | |
dc.identifier.doi | 10.4018/978-1-7998-3904-0.ch009 | |
dc.type.version | publishedVersion | sr |