本研究針對量化分析飛航事件的可行性，提出以希-黃轉換(Hilbert-Huang Transform)的方式進行分析。利用經驗模態分解法可以把原始資料分解成多個本質模態函數(Intrinsic Mode Function)。本研究透過分析由飛航記錄所得到的數據，經由奇異值分解得到每一瞬間的情境矩陣U，並選取比重最大的情境向量u_1進行分析，其中包含最主要的四項參數u_11~u_14，分別是特徵高度、沉降率、速度以及N1。透過經驗模態分解法將情境向量四參數分成趨勢線行為的剩餘函數，以及情境向量跳動程度的本質模態函數。透過分析正常航班與事故航班，在情境向量四參數上的趨勢行為與資料跳動程度上，進行事故因素釐清。最後透過瞬時頻率概念分析本質模態函數在每一瞬間情境向量跳動的振幅以及頻率，並分析正常航班與事故航班在訊號跳動程度上的差異性，透過比較正常航班與大園、名古屋航班的趨勢行為以及訊號跳動程度進行事故發生的
本研究分別從代表趨勢行為的剩餘函數與訊號跳動程度的本質模態函數進行分析，分別從趨勢性與跳動程度來分析正常航班與事故航班的差異。並透過希爾伯特頻譜求取整體性的整合頻譜重心，以一個振幅以及頻率代表整個飛行模態的情形。以此提供一個量化基準對飛航班安全評判上的基準。

In this study, quantitative analysis of the flight from the point of view, by using “Hilbert-Huang Transform”, we translate the flight data into some Intrinsic Mode Function. These “Intrinsic Mode Function” represent different signal components. In this study we analysis of the four main parameters: height, speed, sedimentation rate, and N1. By comparing normal and accident flight, respectively, from the trend and beating degree of factor analysis of accident, further quantitative indicators as border incidents.
Through the method of Hilbert-Huang Transform, we found that in Nagoya accident and Dayuan accident has different factors affecting crash. For Dayuan accident the cause of the crash aircraft mainly from the trend, this is the residual function. In Nagoya accident, the main signal from an accident suffered in the beating of the moment, which is Intrinsic Mode Function’s beating degree. In this study, through the overall concept, by finding out the geometric center and trend Analysis, we understand the different between the normal and accident flight. This study further to define the boundaries of an accident, as well as flight quantifiable indicators.

【1】 Huang, N. E., Shen, Z., Long, S. R., Wu, M. C., Shih, H. H., Zheng, Q., Yen, N. C., Tung, C. C. and Liu H. H, 1998, “The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis,” Mathematical, Physical and Engineering Sciences, 454(1971), pp. 903-995.
【2】 International Air Transport Association, Annual Report 2012
【3】 飛機全毀(Hull Lose)失事統計調查表，交通部民航局，中華民國2013年
【4】 International Civil Aviation Organization (ICAO),Safety Management Manual(DOC. 9859).CA, 2005
【5】 Federal Aviation Administration. Introduction to Safety Management Manual for Air Operators(AC No:120-92).Washington D.C.,2006
【6】 U.S General Accounting Office Aviaion Safety:U.S.Efforts to Implement Flight Operational Quality Assurance Program,Flight Safety Digest,Vol.17,no.7-9,1998.
【7】 Heinrich,H.W.,Industrial Accident Prevention,3rd ed.,N.Y.,McGraw-Hill Book Co.,1950.
【8】 Boeing Commercial Airplane Group, Flight Safety and Accident Lnvestigation Workshop, IAA, NCKU, 1994.
【9】 Reason,J.,Human Errors,New York,Cambridge University Press,1990.
【10】 景鴻鑫，本土化之飛安理念，飛航安全討論與提升研討會，國立成功大學，中華民國八十七年。
【11】 鐘華興，”飛航安全之工程分析-線性系統觀點”，國立成功大學民航研究所，中華民國九十七年。
【12】 陳品妤，”民航操作品質數據之安全性分析”， 國立成功大學民航研究所，中華民國九十九年。
【13】 Copson, E. T., 1967, “Asymptotic Expansions,” Cambridge University Press.
【14】 Gabor, D., 1946, “Theory of communication,” Proc. IEE, 93, pp. 429-457.
【15】 Tichmarsh, E. C., 1948, “Introduction to the theory of Fourier Integrals,” Oxford University Press.
【16】 Newland, D. E., 1993, “An introduction to Random Vibrations, Spectral & Wavelet Analysis,” John Wiley & Sons, Inc., New York.

【17】 Dazin, P. G., 1992, “Nonlinear Systems,” Cambridge University Press, Cambridge.
【18】 Aircraft Accident Investigation Commission, Ministry of Transport, Japan,“Aircraft Accident Investigation Report ─ China Airlines, Airbus Industries A300B4-622R, Nagoya Airport 1994.4.26”, 1996.