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Pregled bibliografske jedinice broj: 1192191

Reliability, Maintainability and Availability Methodology based on Statistical Approach for Cooling Systems Design Modification and Maintenance


Osman, Krešimir; Alajbeg, Trpimir; Perić, Mato
Reliability, Maintainability and Availability Methodology based on Statistical Approach for Cooling Systems Design Modification and Maintenance // Energy sources part A-recovery utilization and environmental effects, 44 (2022), 2; 4364-4380 doi:10.1080/15567036.2022.2075992 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1192191 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Reliability, Maintainability and Availability Methodology based on Statistical Approach for Cooling Systems Design Modification and Maintenance

Autori
Osman, Krešimir ; Alajbeg, Trpimir ; Perić, Mato

Izvornik
Energy sources part A-recovery utilization and environmental effects (1556-7036) 44 (2022), 2; 4364-4380

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
reliability ; maintainability ; availability ; Weibull distribution ; lognormal distribution ; cooling plant

Sažetak
This study presents a described methodology for reliability analysis, maintenance options and system availability in all its steps and is graphically presented via a flowchart. The methodology was verified on an example of a cooling plant in the pharmaceutical industry. All the results are presented in diagram and tabular form. For this purpose, two subsystems were selected, and the respective analysis with the results was presented through all the described steps. The methodology is iterative in essence, which means that the procedure sometimes has to be repeated several times to obtain satisfactory results. It is based on a statistical approach ; the calculation of individual parameters regarding functions in each step of the methodology was done by applying the Weibull and lognormal distribution. According to the obtained parameter β from the reliability analysis, both observed subsystems were slightly larger than 1, and showed slow equipment aging in the plant. The maintainability analysis for function M(t) also showed that the components of the power subsystem require a shorter time to replace the faulty or worn-out part rather than with the hydraulic cooling subsystem. The value of the parameter σ is relatively low, which means that a little dispersion exists around the mean value of failure numbers.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Strojarstvo, Temeljne tehničke znanosti



POVEZANOST RADA


Ustanove:
Tehničko veleučilište u Zagrebu,
Sveučilište Sjever, Koprivnica

Profili:

Avatar Url Krešimir Osman (autor)

Avatar Url Mato Perić (autor)

Avatar Url Trpimir Alajbeg (autor)

Poveznice na cjeloviti tekst rada:

doi www.tandfonline.com

Citiraj ovu publikaciju:

Osman, Krešimir; Alajbeg, Trpimir; Perić, Mato
Reliability, Maintainability and Availability Methodology based on Statistical Approach for Cooling Systems Design Modification and Maintenance // Energy sources part A-recovery utilization and environmental effects, 44 (2022), 2; 4364-4380 doi:10.1080/15567036.2022.2075992 (međunarodna recenzija, članak, znanstveni)
Osman, K., Alajbeg, T. & Perić, M. (2022) Reliability, Maintainability and Availability Methodology based on Statistical Approach for Cooling Systems Design Modification and Maintenance. Energy sources part A-recovery utilization and environmental effects, 44 (2), 4364-4380 doi:10.1080/15567036.2022.2075992.
@article{article, author = {Osman, Kre\v{s}imir and Alajbeg, Trpimir and Peri\'{c}, Mato}, year = {2022}, pages = {4364-4380}, DOI = {10.1080/15567036.2022.2075992}, keywords = {reliability, maintainability, availability, Weibull distribution, lognormal distribution, cooling plant}, journal = {Energy sources part A-recovery utilization and environmental effects}, doi = {10.1080/15567036.2022.2075992}, volume = {44}, number = {2}, issn = {1556-7036}, title = {Reliability, Maintainability and Availability Methodology based on Statistical Approach for Cooling Systems Design Modification and Maintenance}, keyword = {reliability, maintainability, availability, Weibull distribution, lognormal distribution, cooling plant} }
@article{article, author = {Osman, Kre\v{s}imir and Alajbeg, Trpimir and Peri\'{c}, Mato}, year = {2022}, pages = {4364-4380}, DOI = {10.1080/15567036.2022.2075992}, keywords = {reliability, maintainability, availability, Weibull distribution, lognormal distribution, cooling plant}, journal = {Energy sources part A-recovery utilization and environmental effects}, doi = {10.1080/15567036.2022.2075992}, volume = {44}, number = {2}, issn = {1556-7036}, title = {Reliability, Maintainability and Availability Methodology based on Statistical Approach for Cooling Systems Design Modification and Maintenance}, keyword = {reliability, maintainability, availability, Weibull distribution, lognormal distribution, cooling plant} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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