Developing a Knowledge Management System for Integrated Vehicle Health Management Using a Data Life Cycle Model

Alexslis Maindze

doi:10.36001/phmconf.2018.v10i1.710

Abstract

Data forms the foundation on which knowledge is created, captured, used and shared. The lack of an approach consistent with technological changes and needs can facilitate loss of knowledge and increased costs. Integrated Vehicle Health Management (IVHM) is characterized by prognostics and diagnostics which depend heavily on high quality data to perform data-driven, model-based and hybrid computational analysis of asset health. As a result, managing data and knowledge for Integrated Vehicle Health Management (IVHM) requires a data life cycle model that adopts the OSA-CBM data model and integrate with other approaches. This project will propose such a model and use it to support the development of an IVHM knowledge management system.

Highlights

Knowledge management over the years has become a central foundation for business improvement, sustainability and competitiveness
A specific area in which the management of data, information and knowledge is fundamental for its success, is the field of Integrated Vehicle Health Management (IVHM)
IVHM is shaped by prognostics and diagnostics that rely predominantly on the availability of high quality data to perform data-driven, model-based and hybrid computational analysis of asset health

Summary

PROBLEM STATEMENT

Knowledge management over the years has become a central foundation for business improvement, sustainability and competitiveness. The Centre has worked on more than 40 projects, generating more than 120 technical papers, publishing 6 books, and generating lots of algorithms and experimental data, from 10 experimental rigs (Skaf and Jennions, 2017). With this growth in the creation of research data, data automating algorithms, technical papers, reports and theses, the Centre needs both a data management model and a knowledge management system that facilitate the storing, organizing and sharing of its research outputs and which is secure and scalable with a high level of cross platform transferability. A system that presents information to enable browsing by a range of categories and searching on specific terms is desired

EXPECTED CONTRIBUTIONS

RESEARCH PLAN

Work Performed

Remaining Work

CONCLUSION

(2016) ‘Design and Analysis of Communication