Applying the Fuzzy Inference Model in Maintenance Centered to Safety: Case Study–Bucket Wheel Excavator
Samo za registrovane korisnike
2020
Autori
Jovančić, PredragTanasijević, Miloš
Milisavljević, Vladimir
Cvjetić, Aleksandar
Ivezić, Dejan
Bugarić, Uglješa
Ostala autorstva
Martinetti, AlbertoDemichela, Micaela
Singh, Sarbjeet
Poglavlje u monografiji (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
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 whe...el excavator.
Izvor:
Applications and Challenges of Maintenance and Safety Engineering in Industry 4.0, 2020, 142-165Izdavač:
- IGI Global
URI
https://www.igi-global.com/chapter/applying-the-fuzzy-inference-model-in-maintenance-centered-to-safety/255364https://machinery.mas.bg.ac.rs/handle/123456789/5841
Kolekcije
Institucija/grupa
Mašinski fakultetTY - CHAP AU - Jovančić, Predrag AU - Tanasijević, Miloš AU - Milisavljević, Vladimir AU - Cvjetić, Aleksandar AU - Ivezić, Dejan AU - Bugarić, Uglješa PY - 2020 UR - https://www.igi-global.com/chapter/applying-the-fuzzy-inference-model-in-maintenance-centered-to-safety/255364 UR - https://machinery.mas.bg.ac.rs/handle/123456789/5841 AB - 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. PB - IGI Global T2 - Applications and Challenges of Maintenance and Safety Engineering in Industry 4.0 T1 - Applying the Fuzzy Inference Model in Maintenance Centered to Safety: Case Study–Bucket Wheel Excavator EP - 165 SP - 142 DO - 10.4018/978-1-7998-3904-0.ch009 ER -
@inbook{ author = "Jovančić, Predrag and Tanasijević, Miloš and Milisavljević, Vladimir and Cvjetić, Aleksandar and Ivezić, Dejan and Bugarić, Uglješa", year = "2020", 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.", publisher = "IGI Global", journal = "Applications and Challenges of Maintenance and Safety Engineering in Industry 4.0", booktitle = "Applying the Fuzzy Inference Model in Maintenance Centered to Safety: Case Study–Bucket Wheel Excavator", pages = "165-142", doi = "10.4018/978-1-7998-3904-0.ch009" }
Jovančić, P., Tanasijević, M., Milisavljević, V., Cvjetić, A., Ivezić, D.,& Bugarić, U.. (2020). Applying the Fuzzy Inference Model in Maintenance Centered to Safety: Case Study–Bucket Wheel Excavator. in Applications and Challenges of Maintenance and Safety Engineering in Industry 4.0 IGI Global., 142-165. https://doi.org/10.4018/978-1-7998-3904-0.ch009
Jovančić P, Tanasijević M, Milisavljević V, Cvjetić A, Ivezić D, Bugarić U. Applying the Fuzzy Inference Model in Maintenance Centered to Safety: Case Study–Bucket Wheel Excavator. in Applications and Challenges of Maintenance and Safety Engineering in Industry 4.0. 2020;:142-165. doi:10.4018/978-1-7998-3904-0.ch009 .
Jovančić, Predrag, Tanasijević, Miloš, Milisavljević, Vladimir, Cvjetić, Aleksandar, Ivezić, Dejan, Bugarić, Uglješa, "Applying the Fuzzy Inference Model in Maintenance Centered to Safety: Case Study–Bucket Wheel Excavator" in Applications and Challenges of Maintenance and Safety Engineering in Industry 4.0 (2020):142-165, https://doi.org/10.4018/978-1-7998-3904-0.ch009 . .