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This study aims to analyze failure modes of dump trucks to enhance reliability and safety in mining operations.

July 29, 2026Scientific ReportsOpen Access

Risk assessment of mechanical and electrical failures as a data‑driven foundation for alarming systems in autonomous dump trucks

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This study aims to analyze failure modes of dump trucks to enhance reliability and safety in mining operations.
Analyzed three years of maintenance records from Sarcheshmeh Copper Mine
Conducted Pareto analysis and expert validation on key subsystems
Developed a risk matrix to identify dominant failure sources
Engine failures accounted for 30% of incidents, primarily due to power deficiency, leaks, and malfunctions
Targeted corrective actions for failures include predefined sensor thresholds for alarms
Proposed a data-driven framework for real-time risk classification and preventive maintenance strategies

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Randomized trial investigates risk assessment of dump truck failures, indicating implications for safety and reliability.

Tarihi et al. (2026) studied this question.

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