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<p>This study models the reliability and failure rates of two groups of heavy-duty diesel engines (HDDE) with identical capacities, used in Excavators. Using Relia-soft Weibull + + software, reliability and failure rate trends for each engine group are compared through individual graphs. Various probability distribution models are applied to determine which group shows better reliability within a given time frame. The analysis uses time-to-failure (TTF) data from workshop maintenance logs to identify failure patterns and develop an optimized maintenance strategy. Results show that Type-II engines have higher reliability up to 14,000&#xa0;h, while Type-I engines perform better beyond this threshold. The study also compares repair rates and maintainability, revealing variations over time and between engine types, aiding in improving workshop efficiency and equipment availability.</p>

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Assessing Operational Maintainability of Heavy Duty Diesel Engines in Excavators: A Statistical Modelling Perspective

  • 期刊论文

  • 发表日期：

    2025年6月21日

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  • Deepak Kumar Pandey,
  • Yogendra Kumar

摘要

This study models the reliability and failure rates of two groups of heavy-duty diesel engines (HDDE) with identical capacities, used in Excavators. Using Relia-soft Weibull + + software, reliability and failure rate trends for each engine group are compared through individual graphs. Various probability distribution models are applied to determine which group shows better reliability within a given time frame. The analysis uses time-to-failure (TTF) data from workshop maintenance logs to identify failure patterns and develop an optimized maintenance strategy. Results show that Type-II engines have higher reliability up to 14,000 h, while Type-I engines perform better beyond this threshold. The study also compares repair rates and maintainability, revealing variations over time and between engine types, aiding in improving workshop efficiency and equipment availability.