Intelligent personal assistant concept in context of fault analysis

  • Piotr Cichocki Murator Publishing House
  • Jerzy Pokojski Warsaw University of Technology

Abstract

The authors of the paper took up Aoyama's [2-6] concept of the integrated industrial processes intent analysis and linked it with the ideas of the designer's IPA (Intelligent Personal Assistant) [23-26]. 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.

Keywords

personal knowledge management, fault analysis,

References

[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 ASME 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.
Published
Aug 17, 2022
How to Cite
CICHOCKI, Piotr; POKOJSKI, Jerzy. Intelligent personal assistant concept in context of fault analysis. Computer Assisted Methods in Engineering and Science, [S.l.], v. 14, n. 4, p. 591-600, aug. 2022. ISSN 2956-5839. Available at: <https://cames.ippt.gov.pl/index.php/cames/article/view/792>. Date accessed: 13 nov. 2024.
Section
Articles