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Predicting Future Machine Failure from Machine State Using Logistic Regression

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arxiv 1804.06022 v1 pith:ASMFOFN5 submitted 2018-04-17 stat.AP

Matthew Battifarano , David DeSmet , Achyuth Madabhushi , Parth Nabar This is my paper · ORCID
classification stat.AP
keywords machinestatefuturelogisticmaintenancepredictingregressionaccurately
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Accurately predicting machine failures in advance can decrease maintenance cost and help allocate maintenance resources more efficiently. Logistic regression was applied to predict machine state 24 hours in the future given the current machine state.

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Cited by 1 Pith paper

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  1. A Survey of Predictive Maintenance Methods: An Analysis of Prognostics via Classification and Regression

    cs.LG 2025-06 reject novelty 3.0 of 10

    A narrative review of predictive maintenance methods that compares regression and classification prognostics but is compromised by citation integrity problems.

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