Journal:Designing a knowledge management system for naval materials failures

From LIMSWiki
Revision as of 15:22, 16 July 2022 by Shawndouglas (talk | contribs) (Created stub. Saving and adding more.)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigationJump to search
Full article title Designing a knowledge management system for naval materials failures
Journal MATEC Web of Conferences
Author(s) Melanitis, Nikolaos; Giannakopoulos, George; Stamatakis, Konstantinos; Mouzakis, Dionysios; Koutsomichalis, Aggelos
Author affiliation(s) Hellenic Naval Academy, Institute of Informatics & Telecommunications
Primary contact Email: melanitis at hna dot gr
Year published 2021
Volume and issue 349
Article # 03006
DOI 10.1051/matecconf/202134903006
ISSN 2261-236X
Distribution license Creative Commons Attribution 4.0 International
Website https://www.matec-conferences.org/articles/matecconf/abs/2021/18/matecconf_iceaf2021_03006/matecconf_iceaf2021_03006.html
Download https://www.matec-conferences.org/articles/matecconf/pdf/2021/18/matecconf_iceaf2021_03006.pdf (PDF)

Abstract

Implemented materials fail from time to time, requiring failure analysis. This type of scientific analysis expands into forensic engineering for it aims not only to identify individual and symptomatic reasons for failure, but also to assess and understand repetitive failure patterns, which could be related to underlying material faults, design mistakes, or maintenance omissions. Significant information can be gained and studied from carefully documenting and managing the data that comes from failure analysis of materials, including in the naval industry.

The NAVMAT research project, presented herein, attempts an interdisciplinary approach to materials informatics by integrating materials engineering and informatics under a platform of knowledge management. Our approach utilizes a focused, common-cause failure analysis methodology for the naval and marine environment. The platform's design is dedicated to the effective recording, efficient indexing, and easy and accurate retrieval of relevant information, including the associated history of maintenance and secure operation concerning failure incidents of marine materials, components, and systems in an organizational fleet. Based on a materials failure ontology, utilizing artificial intelligence (AI) algorithms and modern approaches to data handling, NAVMAT aims to optimize naval materials failure analysis management and support decision making in maintenance and repair operations (MRO), materials supply management, and staff training. It will eventually support decision making through appropriate AI and natural language processing methods.

Keywords: materials informatics, failure analysis, forensic engineering, naval and marine materials, information management

Introduction: Addressing the need

References

Notes

This presentation is faithful to the original, with only a few minor changes to presentation. In some cases important information was missing from the references, and that information was added. Some grammar and spelling were cleaned up for better readability.