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VAE-based anomaly detection for embedded computer electronic components

Published: 30 March 2023 Publication History

Abstract

The current maintenance of aerospace equipment generally uses regular maintenance, scheduled maintenance, seasonal maintenance, after-the-fact maintenance, and replacement maintenance. These methods are ill-timed, time-consuming, and wasteful of materials. Monitoring the reliability and healthy operating status of each embedded computer electronic component is essential, and maintenance staff will benefit greatly from a data-driven approach to anomaly detection. It can be altered from "repair afterward" to "repair as necessary" and from " repair regularly" to "repair at any time" to solve the practical problems arising from maintenance. The Variational Autoencoder (VAE), which is based on the component storage aging acceleration data, is used in this paper to model the component's normal operating status and perform anomaly detection. The precision and recall of this anomaly detection method are 0.950 and 0.977. This method evaluates the operating status and reliability of each component, improves the reliability and service life of the computer, and establishes the technological framework for the next generation of computer Prognostics and Health Management (PHM) systems.

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  • (2024)Anomaly Detection for Aviation Cyber-Physical System: Opportunities and ChallengesIEEE Access10.1109/ACCESS.2024.349551912(175905-175925)Online publication date: 2024

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cover image ACM Other conferences
CSAI '22: Proceedings of the 2022 6th International Conference on Computer Science and Artificial Intelligence
December 2022
341 pages
ISBN:9781450397773
DOI:10.1145/3577530
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 30 March 2023

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  1. Anomaly detection
  2. Embedded computer
  3. Variational Autoencoder

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  • (2024)Anomaly Detection for Aviation Cyber-Physical System: Opportunities and ChallengesIEEE Access10.1109/ACCESS.2024.349551912(175905-175925)Online publication date: 2024

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