An Approach to Designing PHM Systems with Systems Engineering

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Published Jul 5, 2016
Thomas Dumargue Jean-Robert Pougeon Jean-Rémi Massé

Abstract

This work shows that given the numerous specific constraints that PHM systems for turbofan engines have to deal with and despite the low level of criticality of such systems, the use of Systems Engineering (or even System of Systems Engineering) methods and tools is essential to ensure project success. Various aspects of the methodology which were applied in our projects are presented here: on one hand general system design and project management considerations, on the other hand transversal methodological items such as model-based systems engineering and methods to manage requirements, hypotheses, interfaces, configuration, change, compatibility, validation, verification and integration. Associated pitfalls and lessons learned from applying these elements are highlighted, especially the importance of defining from the beginning of the design all the project management plans, with a constant focus on customer needs satisfaction, interfaces and design documentation while allowing iterations.

How to Cite

Dumargue, T., Pougeon, J.-R., & Massé, J.-R. (2016). An Approach to Designing PHM Systems with Systems Engineering. PHM Society European Conference, 3(1). https://doi.org/10.36001/phme.2016.v3i1.1661
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Keywords

lessons learned, systems engineering, turbofan engines

References
Asan, E., Albrecht, O., & Bilgen, S. (2013). Handling complexity in systems of systems projects – lessons learned from mbse efforts in border security projects. In M. Aiguier, F. Boulanger, D. Krob, & C. Marchal (Eds.), Proceedings of the fourth international conference on complex systems design and management. Springer.
Dupont, A., & Massé, J. R. (2016, June). PHM functions maturation. In Prognostics and Health Management (PHM), 2016 IEEE Conference on.
Eppinger, S., & Browning, T. (2012). Design structure matrix methods and applications. MIT Press.
Estefan, J. A. (2008, May). Survey of model-based systems engineering (mbse) methodologies (Tech. Rep.). Pasadena, California, USA: California Institute of Technology.
Feather, M. S., Goebel, K., & Daigle, M. (2010, April). Tackling verification and validation for prognostics. In Spaceops 2010 conference. American Institute of Aeronautics and Astronautics. doi: 10.2514/6.2010-2183
Feather, M. S., & Markosian, L. Z. (2006). Emerging technologies for V&V of ISHM software for space exploration. In 2006 IEEE Aerospace Conference (p. 1-15). doi: 10.1109/AERO.2006.1656133
Fitzgerald, F., Larsen, P. G., & Woodcock, J. (2013). Foundations for model-based engineering of systems of systems. In M. Aiguier, F. Boulanger, D. Krob, & C. Marchal (Eds.), Proceedings of the fourth international conference on complex systems design and management. Springer.
Haskins, C. (Ed.). (2010). Systems engineering handbook: A guide for system life cycle processes and activities (3rd ed.). International Council on Systems Engineering (INCOSE).
Honour, E. C. (2013). Systems engineering return on investment (Ph.D. thesis). University of South Australia. ISO. (2003). Condition monitoring and diagnostics of machines – Data processing, communication and presentation – Part 1: General guidelines (Standard No. ISO 13374-1:2003). Geneva, Switzerland: International Organization for Standardization.
Jamshidi, M. (Ed.). (2008). Systems of systems engineering. CRC Press. doi: 10.1201/9781420065893
Kopetz, H. (2015). Simplification principles in the design of cyber-physical system-of-systems. In G. Auvray, J. C. Bocquet, E. Bonjour, & D. Krob (Eds.), Proceedings of the sixth international conference on complex systems design and management. Springer.
Lacaille, J. (2009). A maturation environment to develop and manage health monitoring algorithms. In Annual conference of the prognostics and health management society 2009.
Lacaille, J. (2010, March). Validation of healthmonitoring algorithms for civil aircraft engines. In Aerospace conference, 2010 IEEE (p. 1-11). doi: 10.1109/AERO.2010.5446815
Lacaille, J. (2012, March). Validation environment of engine health monitoring algorithms. In Aerospace conference, 2012 IEEE (p. 1-11). doi: 10.1109/AERO.2012.6187369
Lamoureux, B., Massé, J. R., & Mechbal, N. (2012, June). An approach to the health monitoring of the fuel system of a turbofan. In Prognostics and Health Management (PHM), 2012 IEEE Conference on (p. 1-6). doi: 10.1109/ICPHM.2012.6299528
Luzeaux, D. (2013). SoS and large-scale complex systems architecting. In M. Aiguier, F. Boulanger, D. Krob, & C. Marchal (Eds.), Proceedings of the fourth international conference on complex systems design and management. Springer.
Markosian, L., Feather, M. S., Brinza, D., & Figueroa, F. (2005, November). V&V of ISHM software for space exploration. In 1st international forum on integrated system health engineering and management in aerospace.
Massé, J. R., Hmad, O., & Boulet, X. (2012). System phm algorithm maturation. In First european conference of the prognostics and health management society 2012.
Massé, J. R., Lamoureux, B., & Boulet, X. (2011, June). Prognosis and health management in system design. In Prognostics and Health Management (PHM), 2011 IEEE Conference on (p. 1-5). doi:
10.1109/ICPHM.2011.6024346
OMG. (2015). OMG Systems Modeling Language (OMG SysML TM) (Standard Specification No. formal/2015- 06-03). Needham, Massachusetts, USA: Object Management Group.
Rajamani, R., Saxena, A., Kramer, F., Augustin, M., Schroeder, J. B., Goebel, K., . . . Lin, W. (2013). Developing IVHM requirements for aerospace systems (SAE Technical Paper No. 2013-01-2333). SAE International. doi: 10.4271/2013-01-2333
Roychoudhury, I., Saxena, A., Celaya, J. R., & Goebel, K. (2013). Distilling the verification process for prognostics algorithms. In Annual conference of the prognostics and health management society 2013.
SAE Aerospace. (2010, December). Guidelines for development of civil aircraft and systems (Aerospace Recommended Practice No. ARP4754A). Warrendale, Pennsylvania, USA: Author.
Saxena, A., Roychoudhury, I., Celaya, J., Saha, B., Saha, S., & Goebel, K. (2012, June). Requirements flowdown for prognostics and health management. In Infotechaerospace 2012. American Institute of Aeronautics and Astronautics. doi: 10.2514/6.2012-2554
Saxena, A., Roychoudhury, I., Celaya, J., Saha, S., Saha, B., & Goebel, K. (2010, April). Requirements specifications for prognostics: An overview. In AIAA InfotechAerospace 2010. American Institute of Aeronautics and Astronautics. doi: 10.2514/6.2010-3398
Saxena, A., Roychoudhury, I., Wei, L., & Goebel, K. (2013, August). Towards requirements in systems engineering for aerospace IVHM design. In AIAA In-fotechAerospace Conference 2013. American Institute of Aeronautics and Astronautics. doi: 10.2514/6.2013-4659
Shone, N., Shi, Q., Merabti, M., & Kifayat, K. (2011). System-of-systems monitoring: A survey. In PGNet proceedings of the 12th annual postgraduate symposium on the convergence of telecommunications, networking and broadcasting. Liverpool John Moores University, School of Computing and Mathematical Sciences.
The Standish Group. (1994). CHAOS report (Tech. Rep.). The Standish Group.
Section
Technical Papers