Improvement of multidisciplinary integration in design of complex systems by implementing knowledge-based engineering

Chen Zheng; Matthieu Bricogne; Julien Le Duigou; Peter Hehenberger; Sandor Vajna; Benoit Eynard

doi:10.1007/978-3-319-54660-5_9

Improvement of multidisciplinary integration in design of complex systems by implementing knowledge-based engineering

Chen Zheng, Matthieu Bricogne, Julien Le Duigou, Peter Hehenberger, Sandor Vajna, Benoit Eynard

Research Center Wels

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

Abstract

Interface in one complex system represents the logical or physical relationship integrating the components of the complex system or the components with their environment. It plays a quite significant role to guarantee the components designed by the designers of different disciplines integrate correctly in order to achieve the multidisciplinary integration. This paper presents an interface knowledge base to capitalise the design data and rules related to the interfaces. A knowledge-based engineering (KBE) design methodology in which the interface knowledge base is implemented is then proposed to help the designers to improve the multidisciplinary integration during the detailed design phase of complex systems. This KBE design methodology is finally demonstrated by a case study based on a partial discharge (PD) detection system.

Original language	English
Title of host publication	Product Lifecycle Management for Digital Transformation of Industries - 13th IFIP WG 5.1 International Conference, PLM 2016, Revised Selected Papers
Editors	Benoit Eynard, Abdelaziz Bouras, Alain Bernard, Louis Rivest, Ramy Harik
Publisher	Springer
Pages	89-98
Number of pages	10
ISBN (Print)	9783319546599
DOIs	https://doi.org/10.1007/978-3-319-54660-5_9
Publication status	Published - 2016
Event	13th IFIP WG 5.1 International Conference on Product Lifecycle Management for Digital Transformation of Industries, PLM 2016 - Columbia, United States Duration: 11 Jul 2016 → 13 Jul 2016

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	492
ISSN (Print)	1868-4238

Conference

Conference	13th IFIP WG 5.1 International Conference on Product Lifecycle Management for Digital Transformation of Industries, PLM 2016
Country/Territory	United States
City	Columbia
Period	11.07.2016 → 13.07.2016

Keywords

Complex systems
Design methodology
Interface model
Knowledge-based engineering
Multidisciplinary integration

Access to Document

10.1007/978-3-319-54660-5_9

Cite this

Zheng, C., Bricogne, M., Le Duigou, J., Hehenberger, P., Vajna, S., & Eynard, B. (2016). Improvement of multidisciplinary integration in design of complex systems by implementing knowledge-based engineering. In B. Eynard, A. Bouras, A. Bernard, L. Rivest, & R. Harik (Eds.), Product Lifecycle Management for Digital Transformation of Industries - 13th IFIP WG 5.1 International Conference, PLM 2016, Revised Selected Papers (pp. 89-98). (IFIP Advances in Information and Communication Technology; Vol. 492). Springer. https://doi.org/10.1007/978-3-319-54660-5_9

Zheng, Chen ; Bricogne, Matthieu ; Le Duigou, Julien et al. / Improvement of multidisciplinary integration in design of complex systems by implementing knowledge-based engineering. Product Lifecycle Management for Digital Transformation of Industries - 13th IFIP WG 5.1 International Conference, PLM 2016, Revised Selected Papers. editor / Benoit Eynard ; Abdelaziz Bouras ; Alain Bernard ; Louis Rivest ; Ramy Harik. Springer, 2016. pp. 89-98 (IFIP Advances in Information and Communication Technology).

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abstract = "Interface in one complex system represents the logical or physical relationship integrating the components of the complex system or the components with their environment. It plays a quite significant role to guarantee the components designed by the designers of different disciplines integrate correctly in order to achieve the multidisciplinary integration. This paper presents an interface knowledge base to capitalise the design data and rules related to the interfaces. A knowledge-based engineering (KBE) design methodology in which the interface knowledge base is implemented is then proposed to help the designers to improve the multidisciplinary integration during the detailed design phase of complex systems. This KBE design methodology is finally demonstrated by a case study based on a partial discharge (PD) detection system.",

keywords = "Complex systems, Design methodology, Interface model, Knowledge-based engineering, Multidisciplinary integration",

author = "Chen Zheng and Matthieu Bricogne and {Le Duigou}, Julien and Peter Hehenberger and Sandor Vajna and Benoit Eynard",

note = "Publisher Copyright: {\textcopyright} IFIP International Federation for Information Processing 2016. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 13th IFIP WG 5.1 International Conference on Product Lifecycle Management for Digital Transformation of Industries, PLM 2016 ; Conference date: 11-07-2016 Through 13-07-2016",

year = "2016",

doi = "10.1007/978-3-319-54660-5_9",

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pages = "89--98",

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Zheng, C, Bricogne, M, Le Duigou, J, Hehenberger, P, Vajna, S & Eynard, B 2016, Improvement of multidisciplinary integration in design of complex systems by implementing knowledge-based engineering. in B Eynard, A Bouras, A Bernard, L Rivest & R Harik (eds), Product Lifecycle Management for Digital Transformation of Industries - 13th IFIP WG 5.1 International Conference, PLM 2016, Revised Selected Papers. IFIP Advances in Information and Communication Technology, vol. 492, Springer, pp. 89-98, 13th IFIP WG 5.1 International Conference on Product Lifecycle Management for Digital Transformation of Industries, PLM 2016, Columbia, United States, 11.07.2016. https://doi.org/10.1007/978-3-319-54660-5_9

Improvement of multidisciplinary integration in design of complex systems by implementing knowledge-based engineering. / Zheng, Chen; Bricogne, Matthieu; Le Duigou, Julien et al.
Product Lifecycle Management for Digital Transformation of Industries - 13th IFIP WG 5.1 International Conference, PLM 2016, Revised Selected Papers. ed. / Benoit Eynard; Abdelaziz Bouras; Alain Bernard; Louis Rivest; Ramy Harik. Springer, 2016. p. 89-98 (IFIP Advances in Information and Communication Technology; Vol. 492).

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

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T1 - Improvement of multidisciplinary integration in design of complex systems by implementing knowledge-based engineering

AU - Zheng, Chen

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AU - Le Duigou, Julien

AU - Hehenberger, Peter

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AU - Eynard, Benoit

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AB - Interface in one complex system represents the logical or physical relationship integrating the components of the complex system or the components with their environment. It plays a quite significant role to guarantee the components designed by the designers of different disciplines integrate correctly in order to achieve the multidisciplinary integration. This paper presents an interface knowledge base to capitalise the design data and rules related to the interfaces. A knowledge-based engineering (KBE) design methodology in which the interface knowledge base is implemented is then proposed to help the designers to improve the multidisciplinary integration during the detailed design phase of complex systems. This KBE design methodology is finally demonstrated by a case study based on a partial discharge (PD) detection system.

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Zheng C, Bricogne M, Le Duigou J, Hehenberger P, Vajna S, Eynard B. Improvement of multidisciplinary integration in design of complex systems by implementing knowledge-based engineering. In Eynard B, Bouras A, Bernard A, Rivest L, Harik R, editors, Product Lifecycle Management for Digital Transformation of Industries - 13th IFIP WG 5.1 International Conference, PLM 2016, Revised Selected Papers. Springer. 2016. p. 89-98. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-319-54660-5_9

Improvement of multidisciplinary integration in design of complex systems by implementing knowledge-based engineering

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