Enhancing fuel injection system reliability through Weibull family functions analysis

• Autorzy: Qarahasanlou Ali Nouri , Barabadi Abbas , Saleki Meisam , Rahimazar Ali , Gholamia Masoume , Rezakhania Parisa

Identyfikatory

DOI

10.46873/2300-3960.1429

• Języki publikacji: EN

Abstrakty

EN

The efficient operation of heavy machinery is crucial to the success of mining and civil construction operations. To guarantee this performance, equipment performance is assessed using the Reliability Index, which analyzes failures to study the ability of a system to carry out its intended functions under predetermined conditions. On the other hand, the failure rate and operational environmental condition (such as management decisions, maintenance performance, etc., that are defined as “risk factors”) over the life cycle of industrial systems pose a significant challenge to reliability analysis. This paper proposes an approach to address these challenges by extending Weibull family functions with regression models. Then, the effectiveness of this approach using 12-month failure data from the Komatsu 785-5 dump-truck engine refueling system is demonstrated. The most appropriate reliability function for two scenarios with different environmental conditions over the performance interval is fitted. The results indicate that both scenarios exhibit lower reliability than the baseline, highlighting the influence of environmental conditions on equipment reliability.

Słowa kluczowe

EN

mining trucks; reliability; Weibull distribution family; proportional hazards model; fuel injection system

PL

wywrotka kopalniana; niezawodność; rodzina rozkładów Weibulla; model proporcjonalnego hazardu; układ wtrysku paliwa

• Wydawca: Elsevier ; Główny Instytut Górnictwa
• Czasopismo: Journal of Sustainable Mining
• Rocznik: 2024
• Tom: Vol. 23, iss. 4
• Strony: 373--387
• Opis fizyczny: Bibliogr. 52 poz.

Twórcy

autor

Qarahasanlou Ali Nouri

• Postdoc, Department of Technology and Safety, Faculty of Science and Technology, UiT The Arctic University of Norway, Tromsø, Norway

• https://orcid.org/0000-0003-1302-7176

autor

Barabadi Abbas

• Professor, System of Technology and Safety, UiT the Arctic University of Norway, Tromsø, Norway

• https://orcid.org/0000-0001-8514-9557

autor

Saleki Meisam

• Assistant professor, School of Materials and Minerals Resources Engineering, Universiti Sains Malaysia (USM), Penang, Malaysia

• https://orcid.org/0000-0001-5858-3948

autor

Rahimazar Ali

• MSc, Tehran University, Tehran, Iran

• https://orcid.org/0009-0006-5501-8242

autor

Gholamia Masoume

• BSc Student, Faculty of Technical and Engineering, Imam Khomeini International University, Qazvin, Iran

• https://orcid.org/0000-0002-2940-2770

autor

Rezakhania Parisa

• BSc Student, Faculty of Technical and Engineering, Imam Khomeini International University, Qazvin, Iran

• https://orcid.org/0000-0003-3891-0838

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