Skip navigation

AssessLIFE software for automation of asset degradation to estimate Asset life and degradation drivers

AssessLIFE software for automation of asset degradation to estimate Asset life and degradation drivers

Obi, Emenike and Nwajana, Augustine ORCID: 0000-0001-6591-5269 (2022) AssessLIFE software for automation of asset degradation to estimate Asset life and degradation drivers. In: Nwajana, Augustine ORCID: 0000-0001-6591-5269 , (ed.) 5G Internet of Things and Changing Standards for Computing and Electronic Systems. IGI Global, Hershey, Pennsylvania, pp. 30-80. ISBN 978-1668438558; 1668438550; 978-1668438565; 978-16684385 (doi:https://doi.org/10.4018/978-1-6684-3855-8.ch002)

[img]
Preview
PDF (Author's published intro to chapter and links)
36638_NWAJANA_AssessLIFE_software.pdf - Published Version

Download (327kB) | Preview

Abstract

The AssessLIFE software is a solution platform that analyzes and reveals if industrial physical assets made of metals, alloys, and welds can survive their exposure or ambient conditions. The software also reveals when time-dependent premature failure is likely to occur. The software can generate great financial and safety benefits for all stakeholders. Furthermore, the AssessLIFE software aims to provide asset information for better financial and technical decision-making by managers, engineers, legal teams, insurance teams, fabricators, and inspectors.

Item Type: Book Section
Uncontrolled Keywords: AssessLIFE software; automation of asset degradation; degradation drivers; corrosion
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Materials & Analysis Research Group
Faculty of Engineering & Science > Wolfson Centre for Bulk Solids Handling Technology
Faculty of Engineering & Science > School of Engineering (ENG)
Last Modified: 13 Jun 2022 11:07
URI: http://gala.gre.ac.uk/id/eprint/36638

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics