Maintainability Prediction for Aircraft Mechanical Components Utilizing Aircraft Feedback Information


Article Preview

This paper attempts to utilise aircraft maintenance historical data and information for future aircraft design from the perspective of maintanability. Aircraft feedback information contains various types of information that could be used for future improvement rather than just the failure elements. The study shows that the aircraft maintenance related feedback information systems analyses were very useful for deciding maintainability effectiveness; these include planning, organising maintenance and design improvement. There is no doubt that historical data information has the ability to contribute with an important role in design activities. The results also show that maintainability is an importance measure that can be used as a guideline for managing efforts made for the improvement of aircraft components.



Main Theme:

Edited by:

R. Varatharajoo, E. J. Abdullah, D. L. Majid, F. I. Romli, A. S. Mohd Rafie and K. A. Ahmad




W. M. S. Wan Husain, "Maintainability Prediction for Aircraft Mechanical Components Utilizing Aircraft Feedback Information", Applied Mechanics and Materials, Vol. 225, pp. 528-533, 2012

Online since:

November 2012




[1] Civil Aviation Authority, Aircraft Maintenance Incident Analysis, CAA PAPER 2009/05, (2009) CAA, UK.

[2] Kneuer, J., In-Service Data Program Helps Boeing Design, Build, and Support Airplanes, Boeing AeroMagazine, , no. 29, (2008) pp.16-21.

[3] Péres, F. and Noyes, D., Evaluation of a maintenance strategy by the analysis of the rate of repair, Quality and Reliability Engineering International, vol. 19, no. 2, (2003) pp.129-148.


[4] Rankin, W. L., User feedback regarding the Maintenance Error Decision Aid (MEDA) process, Proceedings Joint Meeting of the FSF 54th annual International Air Safety Seminar (IASS), IFA 31st International Conference, and IATA, 5 November to 8 November, Athens (2001).

[5] Civil Aviation Authority, Civil Aircraft Airworthiness Information and Procedures (CAAIP), CAP 562, CAA, (2008) UK.

[6] Defence Standard, Reliability and maintainability data collection and classification, DEF STAN 00-44 Issue 1, (2007)Ministry of Defence, UK.

[7] Federal Aviation Authority (FAA), Element Performance Inspection (EPI) Data Collection Tool, Service Difficulty Reports, (2007).

[8] Bineid, M. and Fielding, J. P., Aircraft systems design methodology and dispatch reliability prediction, (2005)Cranfield University. School of Engineering.

[9] MIL-HDBK-472, Maintainability Prediction, MIL-HDBK-472, Department of Defense, (1966) Washington, DC.


[10] Chipchak, J. S., A Practical Method of Maintainability Allocation, Aerospace and Electronic Systems, IEEE Transactions on, vol. AES-7, no. 4, (1971) pp.585-589.