A knowledge acquisition and management system for fault diagnosis and maintenance of equipments

Authors:
Yulong Jin;Yongsun Choi;Yan Xiong;Kwanhee Han;Sangmoon Shin;Younghee Lee
Affiliations:
Department of Systems Management Engineering, Inje University, Kyungnam, Republic of Korea;Department of Systems Management Engineering, Inje University, Kyungnam, Republic of Korea;Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing, P.R. China;Department of Industrial & Systems Engineering, Gyeongsang National University, Jinju, Geyongnam, Republic of Korea;Department of Systems Management Engineering, Inje University, Kyungnam, Republic of Korea;Department of Industrial Management Engineering, Dong-A University, Saha, Busan, Republic of Korea
Venue:
ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
Year:
2007

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Abstract

Equipment maintenance is one of the essential tasks for manufacturing industries. There have been a number of information systems developed to cope with equipment malfunctions. Most fault diagnosis systems are applications of expert systems which have two drawbacks with regard to knowledge acquisition. One is the lack of knowledge continuity; the other is the limited source of knowledge being incapable of combining knowledge of entire workforce. In this study, we propose an equipment maintenance decision support system architecture with a flexible knowledge maintenance methodology. A case implementation to a sewage management company with multiple distributed plants is introduced to show that the proposed approach helps more efficient utilization of experience-based knowledge in maintaining equipments.