Application Research of General Aircraft Fault Prognostic and Health Management Technology
General aircrafts are very complicated to analyze from the perspective of structure and system, which means the maintenance task is very heavy. The traditional “broken-then- repair” and “planned repair” methods have serious shortcomings in dealing with the ever-changing new situation. “Maintenance depending on the situation” and “predictive maintenance” will nip the fault in the bud and become the direction of future system maintenance strategy development. This research studies three key technologies: general aircraft intelligent monitoring technology, general aircraft health assessment and prediction method based on multi-source big data fusion, and general aircraft operation and maintenance process visualization evolution simulation technology. Built on these technologies, a General Aviation Health Supervision platform is developed. This supervision platform is of great significance to improve the safety and reliability of general aviation aircraft, reduce operation and maintenance costs, and promote the development of the local navigation industry. The research outcome is tested on the Ararat SA60L light sport aircraft manufactured by Hunan Shanhe Technology Co., Ltd. The test confirms that the general aviation health supervision platform, successfully provides real-time, systematic and intelligent solution for the monitoring and health supervision of general aviation aircrafts. It is expected that the new platform will create a revenue of more than 50 million yuan in the first three years of commercialization, with an annual growth rate of over 20%.
KeywordsGeneral aircraft Fault prognostic Health management
About the Author: Liu Changsheng, professor/doctor, main research areas: computer application technology, intelligent manufacturing technology, higher vocational education.
Project Funding: Hunan Natural Science Fund–Science and Education Joint Project (2017JJ5054), Research and Application of Key Technologies for General Aircraft Fault Prediction and Health Management.
- 2.Esteves, M.A.M., Nunes, E.P.: Prognostics health management: perspectives in engineering systems reliability prognostics. Saf. Reliab. Complex Eng. Syst., 2423–2431 (2015)Google Scholar
- 4.Zeng, S., Pechi, M., Wu, J., et al.: Current status and development of fault prediction and health supervision (PHM) technology. J. Aviation 26(5), 626–632 (2005)Google Scholar
- 5.Bo, S., Zhao, Y., Wei, H., et al.: Case study of electronic product health monitoring and fault prediction methods. Syst. Eng. Electron. 29(6), 1012–1016 (2007)Google Scholar
- 6.Lu, F.: Research on Fusion Technology of Aeroengine Fault Diagnosis. Nanjing University of Aeronautics and Astronautics (2009)Google Scholar
- 7.Huang, W.: Adaptive airborne real-time model for engine health supervision. Nanjing University of Aeronautics and Astronautics (2007)Google Scholar
- 8.She, Y., Huang, J., Lu, F.: Performance estimation of gas path components of turboshaft engine based on Kalman filter. J. Changchun Univ. Sci. Technol. (Nat. Sci. Edn.) 3, 33–36 (2010)Google Scholar
- 9.Zuo, H.: Engine Wear State Monitoring and Fault Diagnosis Technology. Aviation Industry Press (1996)Google Scholar
- 10.Bo, J., Yifeng, H., Jianye, Z.: Current status and development of avionics system fault prediction and health supervision technology. J. Air Force Eng. Univ. (Nat. Sci. Ed.) 11(6), 1–6 (2010)Google Scholar
- 11.Larder, B., Azzam, H., Trammel, C., et al.: Smith industries HUMS: changing the M from monitoring to management. In: Aerospace Conference Proceedings, pp. 449–455. IEEE, Montana (2000)Google Scholar
- 12.Zuniga, F.A., Maclise, D.C., Romano, D.J.: NASA Aviation safety program aircraft engine health management data mining tools roadmap. In: Data Mining and Knowledge Discovery: Theory, Tools and Technology II, Orlando Florida, USA, pp. 292–298 (2000)Google Scholar
- 13.Safety, W.S.: The Military Aircraft Joint Strike Fighter Prognostics & Health Management. AIAA 98-3710, pp. 1–7 (1998)Google Scholar
- 14.Zhang, B., Wang, P.: Application of prediction and health supervision (PHM) technology in new generation fighter engines abroad. In: 2008 Aviation Test and Testing Technology Summit, Nanchang, Jiangxi, China, pp. 220–225 (2008)Google Scholar
- 15.Clark, G.J., Vian, J.L., West, M.E., et al.: Multi-platform airplane health management. In: IEEE Aerospace Conference Proceedings, MT, United states, pp. 1–13 (2007). https://doi.org/10.1109/aero.2007.352944
- 16.Gong, J.: Apply Boeing AHM system to ensure the safe operation of Air China B747-400 fleet. Chin. Civil Aviation 6, 65–67 (2010)Google Scholar