Enhancing fuel injection system reliability through Weibull family functions analysis

Ali Nouri Qarahasanlou, Postdoc, Department of Technology and Safety, Faculty of Science and Technology, UiT The Arctic University of Norway, Tromsø, Norway, ORCID: 0000-0003-1302-7176
Abbas Barabadi, Professor, System of Technology and Safety, UiT the Arctic University of Norway, Tromsø, Norway,
Meisam Saleki, Assistant professor, School of Materials and Minerals Resources Engineering, Universiti Sains Malaysia (USM), Penang, Malaysia, ORCID: 0000-0001-5858-3948Follow
Ali Rahimazar, MSc, Tehran University, Tehran, Iran
Parisa Rezakhania, BSc Student, Faculty of Technical and Engineering, Imam Khomeini International University, Qazvin, Iran, ORCID: 0000-0003-3891-0838
Masoume Gholamia, BSc Student, Faculty of Technical and Engineering, Imam Khomeini International University, Qazvin, Iran, ORCID: 0000-0002-2940-2770

Author ORCID Identifier

Ali Nouri Qarahasanlou: 0000-0003-1302-7176

Abbas Barabadi: 0000-0001-8514-9557

Meisam Saleki: 0000-0001-5858-3948

Ali Rahimazar: 0009-0006-5501-8242

Parisa Rezakhania: 0000-0003-3891-0838

Masoume Gholamia: 0000-0002-2940-2770

Abstract

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.

Keywords: Mining Truck, Reliability, Weibull distribution family, Proportional hazard model, Fuel injection system

Recommended Citation

Qarahasanlou, Ali Nouri; Barabadi, Abbas; Saleki, Meisam; Rahimazar, Ali; Rezakhania, Parisa; and Gholamia, Masoume (2024) "Enhancing fuel injection system reliability through Weibull family functions analysis," Journal of Sustainable Mining: Vol. 23 : Iss. 4 , Article 3.
Available at: https://doi.org/10.46873/2300-3960.1429