Failure Mode & Effect Analysis and another Methodology for Improving Data Veracity and Validity-Reference-Cited by-同舟云学术

Failure Mode & Effect Analysis and another Methodology for Improving Data Veracity and Validity

Published:2020-07-01 Issue:3 Volume:4 Page:9-16
ISSN:2516-029X
Container-title:Annals of Emerging Technologies in Computing
language:en
Short-container-title:AETiC

Author:

Herrera Ana Elsa Hinojosa^ORCID,Walshaw Chris,Bailey Chris

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. In this paper we extend its usage for data veracity and validity improvement in the context of big data analysis and discuss its application in an electronics manufacturing test procedure which consists of a sequence of tests. Finally, we describe another methodology, developed as a result of the DVV-FMEA application which is aimed at improving the tests' repeatability and failure detection capabilities as well as monitoring their reliability.

Publisher

International Association for Educators and Researchers (IAER)

Subject

Electrical and Electronic Engineering,General Computer Science

Reference14 articles.

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