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Machine learning for risk ranking of component failure

Fanny Fristedt,Fredrik Nilsson,Teknisk-naturvetenskapliga fakulteten,J. Pearson

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TLDR

The results demonstrate that the survival machine learning models, which incorporate the risk and time-to-event aspects of the data, performed better than the traditional ones regarding the risk ranking of components.