Abstract
The performance accuracy of a machine learning model that predicts the
impending failure of a part can be improved by including an embedded delay period in
the processing for determining when a part is to be replaced in order to remove early false
positives from the prediction
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Recommended Citation
INC, HP, "IMPROVING PART FAILURE PREDICTION PERFORMANCE THROUGH TARGETED PREDICTION DELAYS", Technical Disclosure Commons, (March 24, 2020)
https://www.tdcommons.org/dpubs_series/3044