Abstract
Large business enterprises rely heavily on their human capital. The human capital consists of domain knowledge, experience, analytical and creativity levels. It is recognized that, creativity levels and analytical skills are traits of individuals. All these need to be captured by the use of suitable knowledge capturing techniques, particularly due to exponential knowledge growth in all domains of technology. Ontological modeling has the potential to capture such knowledge, and organize it in a structured format based on the concepts and their mutual relations. It can capture the analytical and creative rationale of design and troubleshooting, besides incorporating specific design sub-routines for tasks. This paper discusses an ontology based model, which stores knowledge for the positioning-system of steam turbine rotor. The efficacy of the model has been demonstrated in capturing this domain knowledge, which can be used by the design and the maintenance personnel and thereby, increase their efficiency.
Similar content being viewed by others
References
Brandt SC, Morbach J, Miatidis M, Theißen M, Jarke M, Marquardt W (2008) Ontology-based information management in design processes. Comput Chem Eng 32(1–2):320–342
Cofer JI, Reinker JK, Summer WJ (1996) Advances in steam path technology. GE power generation turbine technology reference library paper. GE Power Systems, Schenectady, NY, GER-3713E, pp 1–40
Deep K, Das KN (2013) A novel hybrid genetic algorithm for constrained optimization. Int J Syst Assur Eng Manag 3(2):153–159
Gruber TR (1995) Towards principles for the design of ontologies used for knowledge sharing. Int J Hum-Comput Stud 43(4–5):907–928
Kalinichenko L, Missikoff M, Schiappelli F, Skvortsov N (2003) Ontological modeling. In: Proceedings of the 5th Russian conference on digital libraries, RCDL2003, St.-Petersburg, Russia
Kitamura Y, Mizoguchi R (2004) Ontology-based systematization of functional knowledge. J Eng Des 15(4):327–351
Laallam FZ, Sellami M (2007) Gas turbine ontology for the industrial processes. J Comput Sci 3(2):113–118
Langston LS (1980) Cross flows in a turbine cascade passage. Trans ASME J Eng Power 102(4):866–874
McMahon C, Lowe A, Culley S (2004) Knowledge management in engineering design: personalization and codification. J Eng Des 15(4):307–325
Mizoguchi R (2001) Ontological engineering: foundation of the next generation knowledge processing. In: Proceedings of the first Asia-Pacific conference on web intelligence: research and development, October 23–26, Maebashi City, Japan. Springer, Berlin, pp 44–57. ISBN 3-540-42730-9
Musen MA (1992) Dimensions of knowledge sharing and reuse. Comput Biomed Res 25(5):435–467
Noy NF, McGuinness DL (2001) Ontology development 101: a guide to creating your first ontology. http://liris.cnrs.fr/alain.mille/enseignements/Ecole_Centrale/. Accessed 20 May 2013
Stanford Center for Biomedical Informatics Research (2013) Protégé project, Copyright ©. http://protege.stanford.edu/. Accessed 25 April 2013
Štorga M, Andreasen MM, Marjanović D (2008) The design ontology: foundation for the design knowledge exchange and management. J Eng Des 21(4):427–454
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Gupta, P., Gandhi, O.P. Ontological modeling of spatial shaft-position knowledge for steam turbine rotor. Int J Syst Assur Eng Manag 4, 284–292 (2013). https://doi.org/10.1007/s13198-013-0177-2
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13198-013-0177-2