A Design Methodology of Optimized Diagnosis Functions for High Lift Actuation Systems
This paper presents a model-based approach to the optimal design of diagnosis system architectures for complex high lift actuation systems. The overall approach consists of two steps. In the first step, safety and reliability related requirements are introduced. These focus on the detectability and isolability of faults. Symptoms are used therefore. These are separated into safety and reliability related symptoms. In the second step, different alternatives to provide the symptoms are drawn and evaluated in order to gain an optimal design solution. A two stage analysis process is used therefore. The first stage focuses on the fulfillment of the safety related requirements whereas the second stage concentrates on the re- liability related requirements. All aspects of the analysis are depicted exemplary and formalized theoretically. The results of the application to the high lift actuation system of an Airbus A340-600 aircraft are presented afterwards and discussed in the end.
How to Cite
sensor placement, aircraft systems, Model-Based Design
Greiner, R., Smith, B. A., & Wilkerson, R. W. (1989). A Correction to the Algorithm in Reiter’s Theory of Diagnosis. In Elsevier Science Publishers Ltd. (Ed.), Artificial Intelligence (Vol. 41, pp. 79–88). Essex, UK: Elsevier Science Publishers Ltd.
Haskins, C. (Ed.). (2006). Systems Engineering Handbook - A Guide For System Life Cycle Processes And Activities (3rd ed.). INCOSE - International Council On Systems Enginnering.
Isermann, R. (2006). Fault-Diagnosis Systems. Springer. Kacprzynski, G. J., Roemer, M. J., & Hess, A. J. (2002). Health Management System Design: Development,Simulation and Cost/Benefit Optimization. In 2002 IEEE Aerospace Conference Proceedings (Vol. 6, p. 3065-3072).
Kacprzynski, G. J., Roemer, M. J., Hess, A. J., & Bladen, K. R. (2001). Extending FMECA-Health Management Design Optimization for Aerospace Applications. In 2001 IEEE Aerospace Conference Proceedings (Vol. 6, p. 3105-3112).
Kurtoglu, T., Johnson, S. B., Barszcz, E., Johnson, J. R., & Robinson, P. I. (2008, october). Integrating System Health Management into the Early Design of Aerospace Systems using Functional Fault Analysis. In 2008 International Conference on Prognostics and Health Management Proceedings (p. 1-11).
Lulla, C. (2011). Functional Flexibility of the A350XWB High Lift System. In Deutsche Gesellschaft fu ̈r Luft- und Raumfahrt (DGLR) (Ed.), Tagungsband DLRK 2011 (pp. 385–392).
Modest, C., Grymlas, J., Schories, K., Lu ̈dders, H. P., & Thielecke, F. (2011). Model-Based Development of Control and Diagnosis Concepts for Multifunctional Fuel Cell Systems. In 9th European Workshop on Advanced Control and Diagnosis, ACD 2011. Budapest.
Modest, C., Schories, K., Lu ̈dders, H. P., & Thielecke, F. (2011). A Model-Based Development Approach for a Diagnostic System for a Multifunctional Fuel Cell System. In Society of Automotive Engineers (Ed.), SAE International Journal Of Aerospace (Vol. 4, p. 1324- 1333). Warrendale, PA: SAE International.
Ofsthun, S. C., & Wilmering, T. J. (2004, March). Model- Driven Development of Integrated Health Management Architectures. In 2004 IEEE Aerospace Conference Proceedings (Vol. 6, p. 3692-3705).
Recksiek, M. (2009). Advanced High Lift System Architecture With Distributed Electrical Flap Actuation. In O. v. Estorff & F. Thielecke (Eds.), Proceedings of the 2nd International Workshop on Aircraft System Technologies (pp. 49–59). Shaker.
Reiter, R. (1987). A Theory of Diagnosis from First Principles. In Elsevier Science Publishers Ltd. (Ed.), Artificial Intelligence (Vol. 32, pp. 57–95). Essex, UK: Elsevier Science Publishers Ltd.
Roskam, J. (2006). Airplane Cost Estimation : Design, Development, Manufacturing and Operating (3rd ed.). Lawrence, Canada: DARcorporation.
SAE (Ed.). (1996). Guidelines and Methods for Conducting the Safety Assessment Process on Civil Airborne Systems and Equipment (No. 4761).
Scandura, J., Philip A. (2005, October). Integrated Vehicle Health Management as a System Engineering Discipline. In Digital Avionics Systems Conference, 2005. DASC 2005. the 24th (Vol. 2).
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