A Knowledge-based Structural Health Management System Design

DOI

10.2991/icmea-16.2016.23How to use a DOI?

Keywords

Health Management, CBM, Knowledge Modeling, Knowledge Management, Structural health monitoring, Ontology, Agent.

Abstract

Health Management System as a methodology can contribute safety and economics to the modern complex system. According to the OSA-CBM architecture, an open and configurable knowledge management system is proposed in this paper. Through the ontology modeling of the domain knowledge, building the related reasoning rules and with the help of reasoner, the structural health management system domain knowledge involved in health management can be inferred. The related functional agent can be organized into a multi-agent system to achieve the health management task based on the knowledge. A voting mechanism is proposed in data fusion to improve the veracity and reliability of diagnosis. A case study of structural impact detection is shown to verify the system and its efficiency.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Qi CHANG
AU  - He-Ming GAO
AU  - Xiao-Juan WANG
AU  - Qian-Ni FU
PY  - 2016/12
DA  - 2016/12
TI  - A Knowledge-based Structural Health Management System Design
BT  - Proceedings of the 3rd International Conference on Material Engineering and Application (ICMEA 2016)
PB  - Atlantis Press
SP  - 140
EP  - 147
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmea-16.2016.23
DO  - 10.2991/icmea-16.2016.23
ID  - CHANG2016/12
ER  -