Towards an Integrated COTS Toolset for IVHM Design
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Abstract
This paper describes an end-to-end Integrated Vehicle Health Management (IVHM) development process with a strong emphasis on the automation in creating functional models from 3D Computer Aided Design (CAD) system’s representation, throughout the implementation of this process. It has been demonstrated that functional analysis enhances the design and development of IVHM but this approach is not widely adopted by industry and the research community as it carries a significant amount of subjectivism. This paper is meant to be a guideline that supports the correctness through construction of a functional representation for a complex mechatronic system. The knowledge encapsulated in the 3D CATIA™ System Design environment was linked with the Maintenance Aware Design environment (MADe™) with the scope of automatically creating functional models of the geometry of a system. The entire process is documented step by step and it is demonstrated on a laboratory fuel system test rig. The paper is part of a larger effort towards an integrated COTS toolset for IVHM design. Another objective of the study is to identify the relations between the different types of knowledge supporting the health management development process when used together with the spatial and functional dimensions of an asset. The conclusion of this work is that a 3D CAD model containing the topological representation of a complex system can automate the development of the functional model of such a system.
How to Cite
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IVHM Design, Functional analysis, CAD
CATIA™, Dassault Systems, http://www.3ds.com/productsservices/catia - Accessed 2014.
Hirtz, J., Stone, R.B., Szykman, S., McAdams, D.A. & Wood, K.L. (2002). A functional basis for engineering design: Reconciling and evolving previous efforts. Technical report NIST.
Komoto, H., & Tomiyama T. (2012). A framework for computer aided conceptual design and its application to system architecting of mechatronics products, Computer Aided Design, 44(10), pp. 931-946.
Kurtoglu, T., & Campbell, M.I. (2008). Automated synthesis of electromechanical design configurations from empirical analysis of function to form mapping. Journal of Engineering Design, 19.
MADe™, PHM Technology, http://www.phmtechnology.com – Accessed 2014.
Modelica Association, Modelica Standard Library, http://modelica.org/library/Modelica/.
Niculita O., Jennions I.K., Irving P. (2013). Design for Diagnostics and Prognostics: A Physical-Functional Approach, Proceedings of the IEEE Aerospace Conference, BigSky Montana, paper # 2393.
Niculita O., Irving P., Jennions I.K. (2012). Use of COTS functional analysis software as an IVHM Design Tool for Detection and Isolation of UAV Fuel System Faults, Proceedings of the Conference of the Prognostics and Health Management Society, Minneapolis, paper #105.
Stecki, J., & Stecki, C. (2013). Computer Aided Design in Condition Based Maintenance, Proceedings of The British Institute of Non-Destructive Testing (BINDT) Conference, Kraków, Poland.
Stecki, J., Rudov-Clark, S., & Stecki, C. (2014). The Rise and Fall of CBM (Condition Based Maintenance). Key Engineering Materials, vol. 588, pp. 290-301.
Stone, R.B., & Wood, K.L. (2000). Development of a functional basis for design. Journal of Mechanical Design, 122(4), pp. 359-370.
Uckun, S. (2011). Meta ii: Formal co-verification of correctness of large-scale cyber-physical systems during design, Technical report, Palo Alto Research Centre.
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