Mathematical Modeling of Operational Reliability of Mine Lifting Equipment Based on Censored Data
Denis A. Zadkov; Nikita MARTYUSHEV; Boris V. Malozyomov; Anton Y. Demin; Alexander V. Pogrebnoy; Elezaveta E. Kuleshova; Denis V. Valuev · 2026 · Mathematics
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
In this study, a comprehensive mathematical method for modeling the operational reliability of mine hoisting equipment under conditions of incomplete and heavily censored data is developed. The analyzed dataset includes 259 observations collected over a five-year period for six critical components, with the overall level of censoring reaching 62% and exceeding 70% for long life mechanical subsystems. Considering right, left, and interval censoring, the paper proposes a unified statistical procedure that combines empirical estimation of failure rates with parametric identification using Weibull
Abstract by Denis A. Zadkov; Nikita MARTYUSHEV; Boris V. Malozyomov; Anton Y. Demin; Alexander V. Pogrebnoy; Elezaveta E. Kuleshova; Denis V. Valuev, Mathematics (2026) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.3390/math14040716