ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python
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Updated
Mar 17, 2023 - Python
ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python
The project aims to enhance aircraft engine maintenance operations and planning using statistical learning and machine learning methods.
Python tool for analyzing absorbing Markov chains, compute expected steps to absorption from transient states. Applications in predictive maintenance, reliability engineering, and stochastic process analysis.
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