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Predicting Future Machine Failure from Machine State Using Logistic Regression

Applications 2018-04-18 v1
Authors: Matthew Battifarano , David DeSmet , Achyuth Madabhushi , Parth Nabar
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Abstract

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.

Keywords

time series forecasting traffic safety analysis

Cite

@article{arxiv.1804.06022,
  title  = {Predicting Future Machine Failure from Machine State Using Logistic Regression},
  author = {Matthew Battifarano and David DeSmet and Achyuth Madabhushi and Parth Nabar},
  journal= {arXiv preprint arXiv:1804.06022},
  year   = {2018}
}

Comments

5 pages, 3 figures

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