Akademik Veri Yönetim Sistemi
13. ULUSLARARASI AZERBAYCAN FEN, MÜHENDİSLİK, MATEMATİK VE UYGULAMALI BİLİMLER KONGRESİ, Baku, Azerbaycan, 21 - 22 Aralık 2025, ss.1651-1661, (Tam Metin Bildiri)
In this study, the failures that occurred in an excavator used at Ilgın-Çavuşçugöl lignite mine have been monitored approximately a six-year period starting in 2019.The Time Between Failures (TBF) data for the excavator’s body-engine, undercarriage, boom, and bucket components were analyzed using statistical distribution models. The combined evaluation of all failure records demonstrated a strong fit to the Log-logistic distribution (AD = 0.737), indicating a right-skewed and highly variable failure behavior. The median TBF of 45.8 hours and mean TBF of 82.9 hours confirmed the heterogeneous nature of failure intervals among subsystems.
Subsystem-based analyses revealed distinct reliability characteristics. The body–engine subsystem best fitted the Weibull distribution, with a shape parameter below one (β = 0.90), implying that failures predominantly occur in the early-life and random failure region, without a pronounced wear-out trend. The boom subsystem showed the best conformity with the Exponential distribution (AD = 0.726), suggesting a constant failure rate, typically associated with external loading conditions rather than degradation-driven failures. Conversely, the bucket subsystem aligned with the Weibull distribution (β = 1.18), indicating an increasing failure rate due to wear, abrasion, and continuous interaction with geological materials. Overall, the findings reveal that excavator subsystems exhibit markedly different reliability profiles, emphasizing the necessity of component-specific maintenance strategies rather than a uniform approach. This study provides a scientifically grounded framework for improving maintenance planning in lignite mining operations through distribution-based reliability assessment.