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degradation-modeling

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Bridging the lab-to-field gap in BESS health diagnostics. Python case studies exploring data quality, baseline-relative degradation trends, and uncertainty-aware SOH assessment to inform asset valuation and insurance risk assessment.

  • Updated Sep 23, 2026
  • Python

R package for statistical inference, Wiener degradation modeling with drift, and reliability analysis of repairable systems under imperfect maintenance (ARD1). Exact MLE, RUL prognosis via Inverse Gaussian FHT, and publication-ready diagnostics.

  • Updated Oct 1, 2026
  • R

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