Evaluation of operational reliability and life cycle of key components of automotive equipment under conditions of intensive operation

Herein, the reliability analysis of several critical automotive components operating under intensive conditions have been reported. Understanding failure mechanisms under high-stress environments compared to nomal operating conditions has been addressed. Real-world data failures have been collected. Weibull distribution of the failure data of several components where some are considered as wear sensitive components (like brake pads, tires and pistons) and fatigue-sensitive components like transmission and shock absorbers were modelled. Reliability quantification was based on incorporating Weibull parameters for shape (β) and characteristic life (η). The results showed a significant difference between normal and intensive regimes. Under intensive operational conditions, the characteristic life parameter eta decreased by 46% for brake pads, 44 % for tires, and 99% for piston engines. The failure modes classification indicated that wear was responsible of 52% of the failure cases. The main causes of failure were originating from intensive service, poor lubrication, and the non-respect of maintenance protocols, amplifying fatigue accumulation in key automotive components. These findings suggest incorporating predictive maintenance strategies based on Weibull parameters to mitigate such failures

Authors

Publication Details

Journal
Periodicals of Engineering and Natural Sciences (International University of Sarajevo)
Published
2026-09-29
DOI
https://doi.org/10.21533/pen.v14.i3.2005
Primary Topic
Reliability and Maintenance Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Evaluation of operational reliability and life cycle of key components of automotive equipment under conditions of intensive operation

Сәкен Пернебеков, Umirzhan Kokayev, Almira Madiyarova, Antonina Kartashova et al.
Periodicals of Engineering and Natural Sciences (International University of Sarajevo)
Reliability and Maintenance Optimization
article

Evaluation of operational reliability and life cycle of key components of automotive equipment under conditions of intensive operation

Сәкен Пернебеков, Umirzhan Kokayev, Almira Madiyarova, Antonina Kartashova, Aitmukhamed Junusbekov
article en

Abstract

Herein, the reliability analysis of several critical automotive components operating under intensive conditions have been reported. Understanding failure mechanisms under high-stress environments compared to nomal operating conditions has been addressed. Real-world data failures have been collected. Weibull distribution of the failure data of several components where some are considered as wear sensitive components (like brake pads, tires and pistons) and fatigue-sensitive components like transmission and shock absorbers were modelled. Reliability quantification was based on incorporating Weibull parameters for shape (β) and characteristic life (η). The results showed a significant difference between normal and intensive regimes. Under intensive operational conditions, the characteristic life parameter eta decreased by 46% for brake pads, 44 % for tires, and 99% for piston engines. The failure modes classification indicated that wear was responsible of 52% of the failure cases. The main causes of failure were originating from intensive service, poor lubrication, and the non-respect of maintenance protocols, amplifying fatigue accumulation in key automotive components. These findings suggest incorporating predictive maintenance strategies based on Weibull parameters to mitigate such failures

Periodicals of Engineering and Natural Sciences (International University of Sarajevo)
Responsible consumption and production
Openalex Percentile: Top 12%
Reliability and Maintenance Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Evaluation of operational reliability and life cycle of key components of automotive equipment under conditions of intensive operation — Сәкен Пернебеков, Umirzhan Kokayev, et al. · Periodicals of Engineering and Natural Sciences (International University of Sarajevo) (2026) | TGRS Research Map | TGRS