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Weighted Linear Regression based Data Analytics for Decision Making after Early Failures

Conference Paper (2021)
Author(s)

Robert Ross (IWO (Inst. for Science & Development / Inst. voor Wetenschap & Ontwikkeling), TU Delft - High Voltage Technology Group)

P.A.C. Ypma (TU Delft - DC systems, Energy conversion & Storage, IWO (Inst. for Science & Development / Inst. voor Wetenschap & Ontwikkeling))

Gerben Koopmans (IWO (Inst. for Science & Development / Inst. voor Wetenschap & Ontwikkeling))

Research Group
High Voltage Technology Group
Copyright
© 2021 Robert Ross, P.A.C. Ypma, Gerben Koopmans
DOI related publication
https://doi.org/10.1109/ISGTAsia49270.2021.9715569
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 Robert Ross, P.A.C. Ypma, Gerben Koopmans
Research Group
High Voltage Technology Group
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
ISBN (electronic)
978-1-6654-3339-6
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This paper discusses a method for data analysis of early failures that are typically due to defects from production and/or installation. The approach is based on Weighted Linear Regression and aims at estimating the next failure moment and the failure probability in an interval. As an additional goal, methods are intended to be suitable for light computing devices.

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