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

Conference paper (2021)

Authors

Robert Ross IWO (Inst. for Science & Development / Inst. voor Wetenschap & Ontwikkeling), High Voltage Technology Group - EEMCS
P.A.C. Ypma DC systems, Energy conversion & Storage - EEMCS , 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 (EEMCS) (TU Delft)
Copyright: © 2021 Robert Ross, P.A.C. Ypma, Gerben Koopmans
DOI: https://doi.org/10.1109/ISGTAsia49270.2021.9715569
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Published Date

2021

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

High Voltage Technology Group

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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- Embargo expired in 13-12-2023
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