<![CDATA[Purpose: This study develops a transparent framework for applying generalized summability methods to sequences of failure-rate and maintainability estimates produced from finite, irregular and noisy operational records.Research Methodology: Cesàro, weighted, Nörlund and exponential means are compared as regularizing transformations rather than as substitutes for a reliability model. The framework specifies exposure-aware rate construction, treatment of censoring and missing intervals, regularity and stability checks, delay diagnostics and a validation design based on simulated sequences, illustrated with model-based curves and a worked calculation.Results: Averaging reduced high-frequency variation in the illustrative sequences but introduced lag and blurred change points. In the worked example, the unweighted mean of interval rates was 0.0167 per hour while the exposure-pooled rate was 0.0133 per hour, showing that the weighting rule can silently redefine the target quantity.Conclusions: Summability is useful as a monitoring layer only after the estimand, exposure and censoring have been defined correctly, and raw values and uncertainty must remain visible.Limitations: No field dataset is used, and all curves are illustrative.Contributions: The study joins classical summability theory with reliability practice through a reproducible decision framework, selection criteria and validation safeguards.]]>
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