A Framework for Aircraft Maintenance Strategy including CBM

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

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

Published Jul 5, 2016
Partha Pratim Adhikari Matthias Buderath

Abstract

Maintenance Planning plays a vital role in optimizing the benefits of Integrated Vehicle Health Management (IVHM). The challenge is to identify the right combinations of different types (Preventive, CBM and Run-to-Fail) of maintenance tasks for different subsystems or components of complex systems like an aircraft to achieve the most optimized solution in terms of availability, cost and safety. Maintenance Strategy plans most cost effective maintenance type for each fault of a sub-system in such a way that availability and safety are optimized. Also, the strategy should satisfy the important goals viz. technical feasibility and certifiability of the solution. This study presents a RCM based maintenance strategy framework with some modifications over the existing guidelines. The framework has been implemented and is demonstrated with a case study of EPGDS (Electrical Power Generation and Distribution System). The results with arbitrary costing for each task are outlined with the objective of demonstrating the effectiveness of the framework.

How to Cite

Adhikari, P. P., & Buderath, M. (2016). A Framework for Aircraft Maintenance Strategy including CBM. PHM Society European Conference, 3(1). https://doi.org/10.36001/phme.2016.v3i1.1622
Abstract 2584 | PDF Downloads 1998

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

Keywords

RCM, IVHM, Maintenance Strategy, CBA

References
Adhikari P. P., Makhecha D., Buderath M. (2014), A Certifiable Approach towards Integrated Solution for Aircraft Readiness Management, Second European Conference of the Prognostics and Health Management Society, Nantes, France.
ATA MSG-3 (1993), Operator/Manufacturer Scheduled Maintenance Development, issued in 1980, revised in 1993.
Bartholomew-Biggs M., Zuo, M., Christianson, B. (2006), Optimizing preventive maintenance models, Journal of Computational Optimization and Applications, vol 35, no. 2, doi: 10.1007/s10589-006-6449-x.
Feldman K., Jazouli T.,Sandborn P.A. (2009), A Methodology for Determining the Return on Investment Associated With Prognostics and Health Management, IEEE Transactions on Reliability (Impact Factor: 1.93), doi: 10.1109/TR.2009.2020133.
Hoyle, C., Mehr, A. F., Tumer, I. Y., and Chen, W. (2007), Cost-benefit quantification of ISHM in Aerospace Systems, ASME International Design Engineering Technical Conference. 2007.
Kacprzynski G. J., Roemer M. J., Hess A. J., and Bladen K. R. (2001), Extending FMECA – Health management design optimization for aerospace applications, IEEE Aerospace Conference. Big Sky, MT, 2001.
Keller K., Simon K., Stevens E., Jensen C., Smith R., and Hooks D. (2001), A process and tool for determining the cost/benefit of prognostic applications, IEEE Autotestcon. Valley Forge, PA,
doi:10.1109/AUTEST.2001.949432.
Buderath M. & Adhikari P. P. (2012). Simulation Framework and Certification Guidance for Condition Monitoring and Prognostic Health Management. European Conference of Prognostics and Health Management Society 2012.
NAVAIR 00–25–403 (2005), Guidelines for the Naval Aviation Reliability Centered Maintenance Process.
Hölzel N., and Gollnick V. (2015), Cost-benefit Analysis of Prognostics and Condition-based Maintenance Concepts for Commercial Aircraft Considering Prognostic Errors, Annual Conference of the Prognostics and Health Management Society, 2015.
Nguyen D., and Bagajewicz M. (2008), Optimization of Preventive Maintenance Scheduling in Processing Plants, 18th European Symposium on Computer Aided Process Engineering, 2008.
Reimann, J., Kacprzynksi, G., Cabral, D., and Marini, R. (2009), Using condition based maintenance to improve the profitability of performance based logistic contracts, Annual Conference of the Prognostics and Health Management Society. San Diego, CA, 2009.
Saxena A., Roychoudhury I., Celaya J. R., Saha B., Saha S., and Goebel K. (2010), Cost-benefit Analysis of Prognostics and Condition-based Maintenance Concepts for Commercial Aircraft Considering Prognostic Errors, International Journal of Prognostics and Health Management, vol. 1, no. 1, 2010, pp. 20-36, doi: 10.1155/2015/918305.
SAE JA1011 (2009), Evaluation Criteria for Reliability-Centered Maintenance (Rcm) Processes, issued in 1999, revised in 2009.
SAE JA1012 (2011), A Guide to the Reliability-Centered Maintenance (RCM) Standard, issued in January 2002, revised in 2011.
Saxena A., Roychoudhury I., Celaya J. R., Saha S., Saha B.,and Goebel K. (2010), Requirements Specifications for Prognostics: An Overview, AIAA Infotech@Aerospace, Atlanta, GA.
Saxena A., Roychoudhury I., Celaya J. R., Saha B., Saha S., and Goebel K. (2012), Requirements Flowdown for Prognostics and Health Management, American Institute of Aeronautics and Astronautics, Infotech@Aerospace, doi: 10.2514/6.2012-2554.
Tolga K., Stephen B. Johnson, Eric Barszcz, Jeremy R. Johnson, Peter I. Robinson, (2008), Integrating System Health Management into the Early Design of Aerospace Systems Using Functional Fault Analysis, Prognostics and Health Management, PHM 2008. International Conference, ISBN: 978-1-4244-1935-7.
Section
Technical Papers