Data Mining to Support Engineering Design Decision

Jadhav, P., Wong, S. C., Wills, G. B., Crowder, R. M. and Shadbolt, N. R. (2007) Data Mining to Support Engineering Design Decision. In: Workshop on Semantic Web and Web 2.0 in Architectural, Product and Engineering Design, 11 November 2007, 6th International Semantic Web Conference (ISWC), Busan, Korea.

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Abstract

The design and maintenance of an aero-engine generates a
significant amount of documentation. When designing new engines, engi-
neers must obtain knowledge gained from maintenance of existing engines
to identify possible areas of concern. Firstly, this paper investigate the
use of advanced business intelligence tenchniques to solve the problem
of knowledge transfer from maintenance to design of aeroengines. Based
on data availability and quality, various models were deployed. An asso-
ciation model was used to uncover hidden trends among parts involved
in maintenance events. Classification techniques comprising of various
algorithms was employed to determine severity of events. Causes of high
severity events that lead to ma jor financial loss was traced with the help
of summarization techniques. Secondly this paper compares and evalu-
ates the business intelligence approach to solve the problem of knowl-
edge transfer with solutions available from the Semantic Web. The re-
sults obtained provide a compelling need to have data mining support
on RDF/OWL-based warehoused data.

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