A Knowledge Modeling Method of Blast Furnace Fault Diagnosis Based On Ontology

DOI

10.2991/emeit.2012.292How to use a DOI?

Keywords

ontology, fault diagnosis, blast furnace, modeling method

Abstract

There is lots of knowledge in the blast furnace fault diagnosis records and it’s useful to guide the fault diagnosis occurred later. But, in fact, such knowledge sharing and knowledge reusing is very low because of a lack of unified, efficient knowledge model. In order to make the furnace operation unification and standardization, an ontology-based intelligent diagnosis model is established in this paper. On the basis of the four elements which are fault phenomenon, fault location, fault cause, fault solution, the author carry out knowledge representation and construction reasoning. Then the author give out a fault diagnosis framework including fault diagnosis class, property, instance, domain, relationship etc. the ontology-based fault diagnosis modeling method is strictly defined and elaborated. Further more, the author quotes the pulverized coal injection system of blast furnace as a case to confirm this modeling method. The results prove that this modeling method is intuitive and high efficiency.

Copyright

© 2012, 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/).

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TY  - CONF
AU  - Yajun Zhang
AU  - Jinliang Shi
AU  - Guorong Chen
PY  - 2012/09
DA  - 2012/09
TI  - A Knowledge Modeling Method of Blast Furnace Fault Diagnosis Based On Ontology
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 1316
EP  - 1323
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.292
DO  - 10.2991/emeit.2012.292
ID  - Zhang2012/09
ER  -