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

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Published Sep 24, 2018
Alexslis Maindze

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.

How to Cite

Maindze, A. (2018). Developing a Knowledge Management System for Integrated Vehicle Health Management Using a Data Life Cycle Model. Annual Conference of the PHM Society, 10(1). https://doi.org/10.36001/phmconf.2018.v10i1.710
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Keywords

Doctoral Symposium

Section
Doctoral Symposium Summaries