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Intelligent personal assistant concept in context of fault analysis

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The authors of the paper took up Aoyama's concept of the integrated industrial processes intent analysis and linked it with the ideas of the designer's IPA (Intelligent Personal Assistant). In many cases it is not sufficient to analyze the engineer's intent depot when trying to explain the origin of a fault. Often computer models are built or real experiments are done with which the considered classes of problems can be analyzed better. The IPA concept was expanded for the process of building computer models and stands for the fault analysis.
Rocznik
Strony
591--600
Opis fizyczny
Bibliogr. 31 poz., rys.
Twórcy
autor
autor
  • Warsaw University of Technology, Institute of Machine Design Fundamentals, ul. Narbutta 84, 02-524 Warsaw
Bibliografia
  • [1] ActiveKB, www.interspire.com, 06.2007.
  • [2] K. Aoyama, T. Koga. Product behavior and topological structure design system by step-by-step decomposition. Proceedings of DETC'04 AS ME 2004 Computers and Information in Engineering Conference, Salt Lake City, USA, pp. 1-13, 2004.
  • [3] K. Aoyama, T. Koga. A search algorithm of interface structure to achieve required product behavior. Proceedings of DETC'05 ASME 2005 Computers and Information in Engineering Conference, Long Beach, USA, pp. 1-14, 2005.
  • [4] K. Aoyama, T. Koga. An integrated model of product, production process and quality information for failure prediction. Proceedings of DETC'05 ASME 2005 Computers and Information in Engineering Conference, Long Beach, USA, pp. 1-12, 2005.
  • [5] K. Aoyama, T. Koga. Process planning support system considering product quality. Proceedings of DETC'06 ASME 2006 Computers and Information in Engineering Conference, Philadelphia, USA, pp. 1-15, 2006.
  • [6] K. Aoyama, T. Koga. Supporting system for design and production with sharing and Access of Product Failure. In: Leading the Web in Concurrent Engineering, IOS Press, pp. 25-31, 2006.
  • [7] J. Clarkson. An optimal design process for an adequate product? In: R. Rohatyński, ed., Design Methods for Practice, Zielona Góra, pp. 21-26, 2006.
  • [8] J. Clarkson, C. Eckert, ed. Design Process Improvement. A review of current practice. Springer-Verlag, London, 2005.
  • [9] J. Davies, et al. Next generation knowledge management. BT Technology Journal, 23:(3), 2005.
  • [10] J. Girratano, G. Riley. Expert Systems Principles and Programming. PWS, Boston, 1994.
  • [11] N. Gu, J. Xu, X. Wu, J. Yang, W. Ye. Ontology based semantic conflicts resolution in collaborative editing of design documents. Advanced Engineering Informatics, 19: 103-111, 2005.
  • [12] Y. Hatamura, ed. Decision-Making in Engineering Design. Springer-Verlag, 2006.
  • [13] S. Higgison. Your say: Personal knowledge management. Inside Knowledge, http://www.kmmagazine.com, 27.01.2007.
  • [14] S. Kim, S. Ahmed, K. Wallace. Improving document accessibility through ontology-based information sharing. Proceedings of TMCE 2006, pp. 923-933, 2006.
  • [15] H. Koh, et al. A method of accumulation and adaptation of design knowledge. Int. J. Adv. Manuf. Technol, 31: 421-433, 2006.
  • [16] J. Korbicz, J.M. KoScielny, Z. Kowalczuk, W. Cholewa. Diagnostyka procesów. WNT, 2002.
  • [17] K. Kotis, G.A. Vouros. Human- centered ontology engineering: The HCOME methodology. Knowledge and Information Systems, 10: 109-131, 2006.
  • [18] S.C. Liu, S.Y. Liu. An efficient expert system for machine fault diagnosis. Int. J. Adv. Manuf. Technol, 21: 691-698, 2003.
  • [19] W. Marowski. Zastosowanie relacyjnej bazy danych w komputerowym wspomaganiu planowania eksperymentow symulacyjnych. Elektronika, 1: 10-14, 2005.
  • [20] C.A. McMahon, Y. Liu, R. Crossland, D. Brown, D., Leal, J. Devlukia. A best practice advice system to support automotive engineering analysis processes. Engineering with Computers, 19(4): 271-283, 2004
  • [21] Y. Nahm, H. Ischikawa. Integrated product and process modeling for collaborative design environment. Concurrent Engineering: Research and Applications, 12(1): 5-23, 2004.
  • [22] R. Pakowski. Badanie wplywu charakterystyk sprzqgiel podatnych na odpowiedz dynamicznq uktadu nap$dowego, rozprawa doktorska. Politechnika Warszawska, 2005.
  • [23] J. Pokojski. IP A (Intelligent Personal Assistant) — Concepts and Applications in Engineering. Springer-Verlag, London, 2004.
  • [24] J. Pokojski. Knowledge based engineering and intelligent personal assistant context in distributed design. In: Intelligent Computing in Engineering and Architecture, LNAI 4200, Springer-Verlag, 519-528, 2006.
  • [25] J. Pokojski, P. Cichocki. Personal knowledge structuring — issues, concepts and applications in engineering. Proceedings, ProSTEP Science Days 2007, Bremen (to appear), 2007.
  • [26] J. Pokojski, K. Niedziolka. Transmission system design - intelligent personal assistant and multi-criteria support. In: M. Sobolewski, ed., Next Generation Concurrent Engineering - CE 2005, pp. 455-460. P. Ghodous, Int. Society of Productivity Enhancement, NY, 2005.
  • [27] W.C. Regli, X. Hu, M. Atwood, W. Sun. A survey of design rationale systems: Approaches, representation, capture and retrieval. Engineering with Computers, 16: 209-235, 2001.
  • [28] K.-W. Su, S.-L. Hwang, Y.-F. Chou. Applying knowledge structure to the usable fault diagnosos assistance system: A case study of motorcycle maintenance in Taiwan. Expert Systems with Applications, 31: 370-382, 2006.
  • [29] Yang, M.C., et al. Design information retrieval: a thesauri-based approach for reuse of informal design information. Engineering with Computers, 21: 177-192, 2005.
  • [30] D.G. Ullman. The Mechanical Design Process. McGraw-Hill (Third Edition), 2002.
  • [31] K. Wallace. How engineering designers retrieve information. In: R. Rohatyński, ed., Design Methods for Practice, pp. 171-180. Zielona Góra, 2006.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPB1-0031-0006
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