Effect of Aircraft Health Management on Aircraft Maintenance Program Development by Aircraft Manufacturer
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Published
Sep 4, 2023
Takuro Koizumi
Nozomu Kogiso
Abstract
The objective of the research is to propose a system modeling method for aircraft maintenance program development applying the condition-based maintenance using AHM (Aircraft Health Management) from the viewpoint of aircraft manufacturer. The proposed model based on the MSG-3 (Maintenance Steering Group - 3) considers the uncertainty of aircraft maintenance environment related to the airline operation and assumed system degradation levels. Then, the proposed model is formulated by using the concept of a robust optimization method.
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Keywords
Aircraft maintenance program, MSG-3, Condition-based maintenance, Aircraft health management
References
Airlines for America (A4A), (2018). MSG-3 Volume 1 (Fixed Wing Aircraft) Operator/Manufacture Scheduled Maintenance Development, Rev.2018.1, Air Transport Association of America, Inc.
Anderson, R. W. (1999). Safety Enhancements Available by Converting MSG-2 Aircraft Maintenance Programs to MSG-3, SAE Technical Paper Series 1999-01-1440, doi:10.4271/1991-01-1440
Brunton, S. L., et al. (2021). Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning, AIAA Journal, vol. 59, no. 8, pp. 2820-2847, doi: 10.2514/1.J060131
Dibsdale, C. E. (2020). Aerospace Predictive Maintenance: Fundamental Concepts, Warrendale, USA, SAE International, doi: /10.4271/9780768094275
International Air Transport Association, (IATA), (2022). From Aircraft Health Monitoring to Aircraft Health Management, White Paper on AHM
International Maintenance Review Board Policy Board (IMRBPB), (2018). Aircraft Health Monitoring (AHM) Integration in MSG-3, IMRBPB Issue Paper, IP180
Koizumi, T. (2023). Maintenance Program Development Method of Civil Aircraft, Aeronautical and Space Sciences Japan, vol. 71, no. 4 pp. 91-98, doi: 10.14822/kjsass.71.4_91 (in Japanese)
Kordestani, M., Orchard, M. E., Khorasani, K., & Saif, M., (2023). An Overview of the State of the Art in Aircraft Prognostic and Health Management Strategies, IEEE Transactions on Instrumentation and Measurement, vol. 72, 3505215, doi: 10.1109/TIM.2023.3236342
Miura, M., Nambu, Y. & Yamashiki, T., (2022). Proposal of "Systeming" framework for Conceptual Design Stage with Bottom-up mind, 3rd Annual Conference of System Design Society of Japan, (in Japanese).
Anderson, R. W. (1999). Safety Enhancements Available by Converting MSG-2 Aircraft Maintenance Programs to MSG-3, SAE Technical Paper Series 1999-01-1440, doi:10.4271/1991-01-1440
Brunton, S. L., et al. (2021). Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning, AIAA Journal, vol. 59, no. 8, pp. 2820-2847, doi: 10.2514/1.J060131
Dibsdale, C. E. (2020). Aerospace Predictive Maintenance: Fundamental Concepts, Warrendale, USA, SAE International, doi: /10.4271/9780768094275
International Air Transport Association, (IATA), (2022). From Aircraft Health Monitoring to Aircraft Health Management, White Paper on AHM
International Maintenance Review Board Policy Board (IMRBPB), (2018). Aircraft Health Monitoring (AHM) Integration in MSG-3, IMRBPB Issue Paper, IP180
Koizumi, T. (2023). Maintenance Program Development Method of Civil Aircraft, Aeronautical and Space Sciences Japan, vol. 71, no. 4 pp. 91-98, doi: 10.14822/kjsass.71.4_91 (in Japanese)
Kordestani, M., Orchard, M. E., Khorasani, K., & Saif, M., (2023). An Overview of the State of the Art in Aircraft Prognostic and Health Management Strategies, IEEE Transactions on Instrumentation and Measurement, vol. 72, 3505215, doi: 10.1109/TIM.2023.3236342
Miura, M., Nambu, Y. & Yamashiki, T., (2022). Proposal of "Systeming" framework for Conceptual Design Stage with Bottom-up mind, 3rd Annual Conference of System Design Society of Japan, (in Japanese).
Section
Special Session Papers
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