Failure mode & effect analysis for improving data veracity and validity
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Hinojosa Herrera, Ana Elsa 
ORCID: 0000-0002-0636-1881, Walshaw, Chris ORCID: 0000-0003-0253-7779, Bailey, Chris ORCID: 0000-0002-9438-3879 and Yin, Chunyan ORCID: 0000-0003-0298-0420
(2019)
Failure mode & effect analysis for improving data veracity and validity.
In: Proceedings of the IEEE International Conference on Computing, Electronics & Communications Engineering 2019 (IEEE iCCECE '19).
IEEE, pp. 100-105.
ISBN 978-1728121383
(doi:https://doi.org/10.1109/iCCECE46942.2019.8941849)
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PDF (Author Accepted Manuscript)
24890 HINOJOSA-HERRERA_Failure_Mode_&_Effect_Analysis_2019.pdf - Accepted Version Download (621kB) | Preview |
Abstract
Failure Mode & Effect Analysis (FMEA) is a method that has been used to improve reliability of products, processes, designs, and software for different applications, including electronics manufacturing. In this paper we propose a modification of this method to extend its application for data veracity and validity improvement. The proposed DVV-FMEA method is based on engineering features and in addition, provides transparency and understandability of the data and its pre-processing, making it reproducible and trustful.
| Item Type: | Conference Proceedings |
|---|---|
| Title of Proceedings: | Proceedings of the IEEE International Conference on Computing, Electronics & Communications Engineering 2019 (IEEE iCCECE '19) |
| Additional Information: | The Second IEEE International Conference on Computing, Electronics and Communications Engineering (IEEE iCCECE '19) 2019, was held from 22nd - 23rd August, 2019, at London Metropolitan University, London, UK. |
| Uncontrolled Keywords: | FMEA, feature engineering, big data, data veracity, data validity, electronics manufacturing |
| Subjects: | Q Science > QA Mathematics |
| Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Mechanics & Reliability Group (CMRG) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science |
| Related URLs: | |
| Last Modified: | 04 Mar 2022 13:06 |
| URI: | http://gala.gre.ac.uk/id/eprint/24890 |
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