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This paper investigates methodologies for determining the reliability of low-pressure pumps (LPP) in engines using statistical and theoretical models to optimize their maintenance. Time-to-failure distributions of low-pressure pumps were analyzed using exponential, Weibull, and normal distributions. The goodness-of-fit between empirical and theoretical distributions was evaluated using Kolmogorov-Smirnov tests. After the analysis, the Weibull distribution was selected as the reliability model for the low-pressure pump.

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Determination of a Reliability Model for an Engine Low-Pressure Pump

  • 会议论文

  • 发表日期：

    2025年

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  • Stojko Biočanin,
  • Milica Timotijević

摘要

This paper investigates methodologies for determining the reliability of low-pressure pumps (LPP) in engines using statistical and theoretical models to optimize their maintenance. Time-to-failure distributions of low-pressure pumps were analyzed using exponential, Weibull, and normal distributions. The goodness-of-fit between empirical and theoretical distributions was evaluated using Kolmogorov-Smirnov tests. After the analysis, the Weibull distribution was selected as the reliability model for the low-pressure pump.