Benefits Analysis of Prognostics & Health Monitoring to Aircraft Maintenance using System Dynamics

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Published Jul 5, 2016
Yameen M. Hussain Stephen Burrow Leigh Henson Patrick Keogh

Abstract

The benefits of applying Prognostics & Health Monitoring (PHM) techniques to Aircraft Maintenance are evaluated using System Dynamics (SD). It is well known that a key motivation for PHM is to increase aircraft availability by reducing unscheduled removals and downtime, ultimately reducing Direct Maintenance Costs (DMC). The benefits to aircraft maintenance are tested by modelling two maintenance philosophies using SD: the traditional approach driven by scheduled & reactive maintenance; and through Condition Based Maintenance (CBM) by considering PHM functionality in maintenance practice. The study is focused on an Electromechanical Actuator (EMA) for an aircraft flight control system across a fleet of 25 aircraft over an 8 year maintenance overhaul period. The study indicated there were fewer unscheduled removals as a result of CBM in comparison to the traditional approach. Further sensitivity studies on varying degradation patterns led to instability in maintenance planning with more reactive maintenance due to more abrupt failures of the EMA. The cost effectiveness of CBM as a function of PHM efficiency is demonstrated through DMC accumulation where it was found that CBM is no longer cost-beneficial when over 85% of the EMA life has been used. Overall, the SD models presented a general level of systems understanding of the causalities that are inherent within the two maintenance policies and are a useful methodology to consider PHM benefits through analysing the impact of different policies on the system behaviour.

How to Cite

Hussain, Y. M., Burrow, S., Henson, L., & Keogh, P. (2016). Benefits Analysis of Prognostics & Health Monitoring to Aircraft Maintenance using System Dynamics. PHM Society European Conference, 3(1). https://doi.org/10.36001/phme.2016.v3i1.1604
Abstract 63612 | PDF Downloads 51109

##plugins.themes.bootstrap3.article.details##

Keywords

health monitoring, maintenance, prognostics, Aerospace, System Dynamics

References
Ackert, S. P. (2010, October 1). Basics of Aircraft Maintenance Programs for Financiers. Evaluation & Insights of Commercial Aircraft Maintenance Programs.
Airlines for America. (2014). Per-Minute Cost of Delays to U.S. Airlines. Retrieved December 2015, from Airlines for America: http://airlines.org/data/per-minute-cost-of-delays-to-u-s-airlines/
Balaban, E., Saxena, A., Narasimhan, S., Roychoudhury, I., & Goebel, K. (2011). Experimental Validation of a Prognostic Health Management System for Electro-Mechanical Actuators. American Institute of Aeronautics and Astronautics.
Balaban, E., Saxena, A., Narasimhan, S., Roychoudhury, I., Koopmans, M., Ott, C., & Goebel, K. (2015). Prognostic Health-Management System Development for Electromechanical Actuators. Journal of Aerospace Information Systems, 329-344.
Bivona, E., & Montemaggiore, G. (2005). Evaluating Fleet and Maintenance Management Strategies through System Dynamics Model in a City Bus Company. The 23rd International Conference of the System Dynamics Society. Boston.
Bodden, D. S., Clements, S., Schley, B., & Jenney, G. (2007). Seeded Failure Testing and Analysis of an Electromechanical Actuator. Aerospace Conference IEEE, 1-8.
Chumai, R. (2009). System Dynamic Modeling of Plant Maintenance Strategy in Thailand. The 27th International Conference of the System Dynamics Society. Albuquerque.
Exlar. (2016). Exlar Product. Retrieved December 2015, from Exlar: http://exlar.com/resource/
Feldman, A., Kurtoglu, T., Narasimham, S., Poll, S., Garcia, D., Kleer, J., . . . Gemund, A. (2010). Empirical Evaluation of Diagnostic Algorithm Performance Using a Generic Framework. International Journal of Prognostics and Health Management.
Forrestor, J. W. (1961). Industrial Dynamics. Cambridge, MA: The M.I.T Press.
IATA. (2011). Airline Maintenance Cost Executive Commentary.
Jabar, B. H. (2003). Plant Maintenance Strategy: Key for Enhancing Profitability.
Jennions, I. (2012). Integrated Vehicle Health Management: Business Case Theory and Practice. SAE International.
Jin, W., Chen, Y., & Lee, J. (2013). Methodology for Ball Screw Component Health Assessment and Failure Analysis. International Manufacturing Science and Engineering Conference. Wisconsin.
Jokinen, T., Ylén , P., & Pyötsiä, J. (2011). Dynamic Model for Estimating the Added Value of Maintenance Services. The 29th International Conference of the System Dynamics Society. Washington DC.
Knotts, R. M. (1999). Civil Aircraft Maintenance and Support Fault Diagnosis from a Business Perspective. Journal of Quality in Maintenance Engineering, 335-348.
Li, L., Wang, Z., Liu, Z., & Bu, S. (2014). Trend Prognosis of Aero-Engine Abrupt Failure Based on Affinity Propagation. First Symposium on Aviation Maintenance, 13-22.
Prokopenko, J., & North, K. (1997). Productivity and Quality Management. In Productivity by Maintenance.
Radzicki, M. J., & Robert, T. A. (2008). Origin of System Dynamics: Jay W. Forrester and the History of System Dynamics. U.S. Department of Energy's Introduction to System Dynamics.
Şenturk, C. (2010). Optimization of Aircraft Utilization by Reducing Scheduled Maintenance Downtime. 10th AIAA Aviation Technology, Integration and Operations (ATIO). Fort Worth, Texas.
Spohrer, J., & Maglio, P. (2010). Service Science: Toward a Smarter Planet. ntroduction to Service Engineering, 3-30.
Sterman, J. D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. Jeffrey J. Shelstad.
Tako, A. A., & Robinson, S. (2008). Model Building in System Dynamics and Discrete Event Simulation: a quantitative comparison. The 2008 International Conference of the System Dynamics Society. Athens.
Weiss, J. (2014). Control Actuation Reliability and Redundancy for Long Duration Underwater Vehicle Missions with High Value Payloads. Underwater Intervention.
Wheeler, K. R., Kurtoglu, T., & Poll, S. D. (2010). A Survey of Health Management User Objectives Related to. International Journal of Prognostics and Health Management.
Section
Technical Papers