Development of an Ontology for Aerospace Engine Components Degradation in Service

C. Okoh, R. Roy, J. Mehnen, L. Redding, A. Harrison

Abstract

This paper presents the development of an ontology for component service degradation. In this paper, degradation mechanisms in gas turbine metallic components are used for a case study to explain how a taxonomy within an ontology can be validated. The validation method used in this paper uses an iterative process and sanity checks. Data extracted from on-demand textual information are filtered and grouped into classes of degradation mechanisms. Various concepts are systematically and hierarchically arranged for use in the service maintenance ontology. The allocation of the mechanisms to the AS-IS ontology presents a robust data collection hub. Data integrity is guaranteed when the TO-BE ontology is introduced to analyse processes relative to various failure events. The initial evaluation reveals improvement in the performance of the TO-BE domain ontology based on iterations and updates with recognised mechanisms. The information extracted and collected is required to improve service knowledge and performance feedback which are important for service engineers. Existing research areas such as natural language processing, knowledge management, and information extraction were also examined.

References

  1. Ahmad, M. N. and Colomb, R. M., 2007. Managing ontologies: a comparative study of ontology servers, Proceedings of the eighteenth conference on Australasian database-Volume 63, Australian Computer Society, Inc., Ballarat, Australia, pp.13-22.
  2. Ameen, H. A., Hassan, K. S. and Mubarak, E. M. M., 2011. Effect of loads, sliding speeds and times on the wear rate for different materials, American journal of scientific and industrial research, vol. 2, pp. 99-106.
  3. Boritz, J. E., 2005. IS practitioners' views on core concepts of information integrity, International Journal of Accounting Information Systems, vol. 6, no. 4, pp. 260-279.
  4. Correia, J., Girardi, R. and de Faria, C. G., 2011. Extracting Ontology Hierarchies From Text(S), SEKE, Knowledge Systems Institute Graduate School, pp. 398-401.
  5. Dadzie, A., Bhagdev, R., Chakravarthy, A., Chapman, S., Iria, J., Lanfranchi, V., Magalhães, J., Petrelli, D. and Ciravegna, F., 2009. Applying semantic web technologies to knowledge sharing in aerospace engineering, Journal of Intelligent Manufacturing, vol. 20, no. 5, pp. 611-623.
  6. Dale, R., Moisl, H. and Somers, H., 2000. Handbook of natural language processing, CRC Press. Boca Raton, USA.
  7. Dellschaft, K. and Staab, S., 2006. On how to perform a gold standard based evaluation of ontology learning, The Semantic Web-ISWC 2006, Springer, Berlin Heidelberg, pp. 228-241.
  8. del-Rey-Chamorro, F. M., Roy, R., van Wegen, B. and Steele, A., 2003. A framework to create key performance indicators for knowledge management solutions, Journal of Knowledge management, vol. 7, no. 2, pp. 46-62.
  9. Doultsinou, A., Roy, R., Baxter, D., Gao, J. and Mann, A., 2009. Developing a service knowledge reuse framework for engineering design, Journal of Engineering Design, vol. 20, no. 4, pp. 389-411.
  10. Gruber, T. R., 1993. A translation approach to portable ontology specifications, Knowledge acquisition, vol. 5, no. 2, pp. 199-220.
  11. Guarino, N., Oberle, D. and Staab, S., 2009. What is an Ontology?, in Handbook on ontologies, Springer, Springer, Berlin Heidelberg, pp. 1-17.
  12. Jasper, R. and Uschold, M., 1999. A framework for understanding and classifying ontology applications, Proceedings 12th Int. Workshop on Knowledge Acquisition, Modelling, and Management KAW, Stockholm, Sweden, vol. 99, pp. 16-27.
  13. Jiang, J., 2012. Information extraction from text, in Mining text data, Springer, Berlin Heidelberg, pp. 11- 41.
  14. Kim, S., Aurisicchio, M. and Wallace, K., 2009. Towards automatic causality boundary identification from root cause analysis reports, Journal of Intelligent Manufacturing, vol. 20, no. 5, pp. 581-591.
  15. Lanfranchi, V., Bhagdev, R., Chapman, S., Ciravegna, F. and Petrelli, D., 2007. Extracting and searching knowledge for the aerospace industry, Proceedings of 1st European Semantic Technology Conference, .
  16. Liu, Y., Zhang, J., Tjondronegoro, D. and Geve, S., 2007. A shape ontology framework for bird classification, Digital Image Computing Techniques and Applications, 9th Biennial Conference of the Australian Pattern Recognition Society, IEEE, pp. 478-484.
  17. Maedche, A. and Volz, R., 2001. The ontology extraction & maintenance framework Text-To-Onto, Proc. Workshop on Integrating Data Mining and Knowledge Management, California, USA.
  18. Medjaher, K., Tobon-Mejia, D. A. and Zerhouni, N., 2012. Remaining Useful Life Estimation of Critical Components With Application to Bearings, IEEE Transactions on Reliability, vol. 61, no. 2, pp. 292- 302.
  19. Norman, E. D., 2013. Mechanical Behavior of Materials, 4th ed, Pearson, England.
  20. Okoh, C., Roy, R., Mehnen, J. and Redding, L., 2014. Overview of Remaining Useful Life Prediction Techniques in Through-Life Engineering Services, 6th CIRP Conference on Industrial Product-Service Systems (IPSS 2014), Windsor, Ontario, Canada, 1-2 May.
  21. Pomeroy, M. J., 2005. Coatings for gas turbine materials and long term stability issues, Materials & Design, vol. 26, no. 3, pp. 223-231.
  22. Q-BPM, 2014. AS-IS and TO-BE Process model, available at: http://en.q-bpm.org/mediawiki/index.php/As-is# Overview (accessed March/18).
  23. Rausand, M. and Høyland, A., 2004. System reliability theory: models, statistical methods, and applications, New Jersey, 2nd edition, John Wiley & Sons.
  24. Roy, R., Shaw, A., Erkoyuncu, J. A. and Redding, L., 2013, Through-Life Engineering Services, Journal of Measurement and Control, vol. 46, no. 6, pp. 172-175.
  25. Ryu, P. and Choi, K., 2006. Taxonomy learning using term specificity and similarity, Proceedings of the 2nd Workshop on Ontology Learning and Population: Bridging the Gap between Text and Knowledge, Syndey, Australia, pp. 41-48.
  26. Sabou, M., Wroe, C., Goble, C. and Mishne, G., 2005. Learning domain ontologies for web service descriptions: an experiment in bioinformatics, Proceedings of the 14th international conference on World Wide Web, ACM, Chiba, Japan, pp. 190-198.
  27. Saleem, K. and Bellahsene, Z., 2008. Automatic extraction of structurally coherent mini-taxonomies, Conceptual Modeling-ER 2008, Springer, Berlin Heidelberg, pp. 341-354.
  28. Serra, I., Girardi, R. and Novais, P., 2013. PARNT: A Statistic based Approach to Extract Non-Taxonomic Relationships of Ontologies from Text, Information Technology: New Generations (ITNG), 2013 Tenth International Conference, Las Vagas, Navada, pp. 561-566,
  29. UNAS, S. M., 2000. Ontological engineering: common approaches and visualisation capabilities, Informatica, Vilnius, Lithuania, vol. 11, no. 1, pp. 41-48.
  30. Uschold, M. and Gruninger, M., 2004. Ontologies and semantics for seamless connectivity, ACM SIGMod Record, vol. 33, no. 4, pp. 58-64.
  31. Wang, T., Li, Y., Bontcheva, K., Cunningham, H. and Wang, J., 2006. Automatic extraction of hierarchical relations from text, The Semantic Web: Research and Applications, Springer, Berlin Heidelberg, pp. 215- 229.
  32. Zhang, Z., Gentile, A. L. and Ciravegna, F., 2011. Harnessing different knowledge sources to measure semantic relatedness under a uniform model, Proceedings of the Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, pp. 991-1002.
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Paper Citation


in Harvard Style

Okoh C., Roy R., Mehnen J., Redding L. and Harrison A. (2014). Development of an Ontology for Aerospace Engine Components Degradation in Service . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014) ISBN 978-989-758-049-9, pages 108-119. DOI: 10.5220/0005090201080119


in Bibtex Style

@conference{keod14,
author={C. Okoh and R. Roy and J. Mehnen and L. Redding and A. Harrison},
title={Development of an Ontology for Aerospace Engine Components Degradation in Service},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014)},
year={2014},
pages={108-119},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005090201080119},
isbn={978-989-758-049-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014)
TI - Development of an Ontology for Aerospace Engine Components Degradation in Service
SN - 978-989-758-049-9
AU - Okoh C.
AU - Roy R.
AU - Mehnen J.
AU - Redding L.
AU - Harrison A.
PY - 2014
SP - 108
EP - 119
DO - 10.5220/0005090201080119