# Rare Failure Prediction via Event Matching for Aerospace Applications

## TL;DR

This paper introduces a novel failure prediction method tailored for aerospace systems, leveraging event matching to improve early detection of rare failures in predictive maintenance.

## Contribution

The paper proposes a new general methodology for rare failure prediction that accounts for unique properties of technical systems, demonstrated on real aircraft data.

## Key findings

- Effective prediction of rare failures in aerospace systems.
- Applicable to real-world aircraft operation data.
- Enhances predictive maintenance strategies.

## 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.