jiaxiang-cheng/Random-Weighted-Bootstrap-with-Weibull
Reproduction of the work by Hong, Y., Meeker, W. Q., & McCalley, J. D. (2009). Prediction of remaining life of power transformers based on left truncated and right censored lifetime data. Annals of Applied Statistics, 3(2), 857-879.
This tool helps power grid managers and reliability engineers predict the remaining operational life of individual power transformers and estimate future failure rates across their entire transformer fleet. By inputting historical data on transformer installation, operational status (failed or survived), and observed lifetimes, it outputs precise confidence intervals for individual transformer remaining life and forecasts the number of expected failures in the coming years. It's designed for professionals managing critical infrastructure assets who need to make data-driven maintenance and replacement decisions.
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Use this if you need to predict when specific power transformers are likely to fail or estimate how many transformers in your system will fail over a future period, using historical operational and failure data.
Not ideal if you don't have detailed historical data on transformer installation dates, failure events, or censored lifetime observations, or if you need to predict for assets other than power transformers.
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Language
R
License
MIT
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Last pushed
Jun 28, 2021
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