Details
| Original language | English |
|---|---|
| Pages (from-to) | 709-720 |
| Number of pages | 12 |
| Journal | Engineering Applications of Artificial Intelligence |
| Volume | 20 |
| Issue number | 5 |
| Publication status | Published - 1 Aug 2007 |
Abstract
Accuracy and reliability of the FEM analysis results depend heavily on the quality of the decisions made during the analysis process. As there are no industry-level systems for support of non-algorithmic tasks of FEM-based engineering analysis, such tasks are carried out by engineers on the basis of expert knowledge and experience. However, to exploit contemporary potentialities of FEM to solve a complex engineering problem requires high level of expertise; this restricts application of achievements of FE analysis in industry. In this paper, the concept of intelligent support of engineering analysis using knowledge-based system is presented, which is a promising way to increase quality of complex analysis.
Keywords
- Case-based reasoning, Engineering analysis, Intelligent support, Ontology
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Computer Science(all)
- Artificial Intelligence
- Engineering(all)
- Electrical and Electronic Engineering
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In: Engineering Applications of Artificial Intelligence, Vol. 20, No. 5, 01.08.2007, p. 709-720.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Intelligent support of engineering analysis using ontology and case-based reasoning
AU - Wriggers, Peter
AU - Siplivaya, Marina
AU - Joukova, Irina
AU - Slivin, Roman
N1 - Funding information: The work is financially supported by the ‘Mikhail Lomonosow’ grants of DAAD and Ministry of Education and Science of Russia.
PY - 2007/8/1
Y1 - 2007/8/1
N2 - Accuracy and reliability of the FEM analysis results depend heavily on the quality of the decisions made during the analysis process. As there are no industry-level systems for support of non-algorithmic tasks of FEM-based engineering analysis, such tasks are carried out by engineers on the basis of expert knowledge and experience. However, to exploit contemporary potentialities of FEM to solve a complex engineering problem requires high level of expertise; this restricts application of achievements of FE analysis in industry. In this paper, the concept of intelligent support of engineering analysis using knowledge-based system is presented, which is a promising way to increase quality of complex analysis.
AB - Accuracy and reliability of the FEM analysis results depend heavily on the quality of the decisions made during the analysis process. As there are no industry-level systems for support of non-algorithmic tasks of FEM-based engineering analysis, such tasks are carried out by engineers on the basis of expert knowledge and experience. However, to exploit contemporary potentialities of FEM to solve a complex engineering problem requires high level of expertise; this restricts application of achievements of FE analysis in industry. In this paper, the concept of intelligent support of engineering analysis using knowledge-based system is presented, which is a promising way to increase quality of complex analysis.
KW - Case-based reasoning
KW - Engineering analysis
KW - Intelligent support
KW - Ontology
UR - http://www.scopus.com/inward/record.url?scp=34249856667&partnerID=8YFLogxK
U2 - 10.1016/j.engappai.2006.12.002
DO - 10.1016/j.engappai.2006.12.002
M3 - Article
AN - SCOPUS:34249856667
VL - 20
SP - 709
EP - 720
JO - Engineering Applications of Artificial Intelligence
JF - Engineering Applications of Artificial Intelligence
SN - 0952-1976
IS - 5
ER -