English

Rare Failure Prediction via Event Matching for Aerospace Applications

Machine Learning 2019-05-29 v1 Signal Processing Applications Machine Learning

Abstract

In this paper, we consider a problem of failure prediction in the context of predictive maintenance applications. We present a new approach for rare failures prediction, based on a general methodology, which takes into account peculiar properties of technical systems. We illustrate the applicability of the method on the real-world test cases from aircraft operations.

Keywords

Cite

@article{arxiv.1905.11586,
  title  = {Rare Failure Prediction via Event Matching for Aerospace Applications},
  author = {Evgeny Burnaev},
  journal= {arXiv preprint arXiv:1905.11586},
  year   = {2019}
}

Comments

7 pages, 8 figures, 1 table