曝光臺 注意防騙 網曝天貓店富美金盛家居專營店坑蒙拐騙欺詐消費者

[6] S. Chen, C. F. N. Cowan, and P. M. Grant.  Orthogonal Least Squares Learning Algorithm for Radial Basis Function Networks, volume 2. IEEE Transactions on Neural Networks, 1991.
[7] R.L. Claypoole, R.G. Baraniuk, and R.D. Nowak.  Adaptive wavelet transforms via lifting. In IEEE Conference on Acoustics, Speech, and Signal Processing, 1998.
[8] R. R. Coifman and D. L. Donoho.  Translation-invariant de-noising. Technical report, Stanford University, Department of Statistics, 1995. To Appear, Wavelets and Statistics, Anestis Antoniadis, ed. Springer-Verlag Lecture Notes.
[9] J. Colomer, J. Melendez, and F. Gamero. Qualitative representation of process trends for situation assessment based on cases. In IFAC World Congress, Barcelona, Spain, 2002.
151
[10] H.J. Decker and D.G. Lewick.  Spiral bevel pinion crack detection in a helicopter gearbox. In American Helicopter Society’s 59th Annual Forum, Phoenix, Arizona, USA, 2003.
[11] Joint European Helicopter Operators Committee (EHOC) / Associa-tion Européenne des Constructeurs de Matériel Aérospatial (AECMA) / Aerospace Industries Association (AIA) HUMS task force. Hums task force report, 2002.
[12] David L. Donoho. De-noising by soft-thresholding. IEEE Transactions on Information Theory, 41(3):613–627, 1995.
[13] M.A. Essawy, S. Diwakar, S. Zein-Sabatto, and A.K. Garga.  Fault di-agnosis of helicopter gearboxes using neurofuzzy techniques. In 52nd Meeting of the Society for Machinery Failure Prevention Technology (MFPT), 1998.
[14] W. Gersch, T. Brotherton, and S. Braun.  Nearest neighbor-time se-ries analysis classi.cation of faults in rotating machinery. Journal of Vibration, Acoustics, Stress, and Reliability in Design, 105:178.–184, 1983.
[15] David Goldberg. Genetic Algorithms in Search, Optimization and Ma-chine Learning. Kluwer Academic Publishers, Boston, MA, 1989.
[16] T. Harris and A. Kohonen.  S.o.m. based machine health monitoring system which enables diagnosis of faults not seen in the training set. In The 1993 International Joint Conference on Neural Networks, 1993.
[17] J.J. Zakrajsek H.J. Decker, R.F. Handschuh. An enhancement to the na4 gear vibration diagnostic parameter, technical report nasa tm-106553, arl-tr-389. Technical report, NASA and the US Army Research Labora-tory, 1994.
[18] A.J. Ho.man and N.T. van der Merwe. The application of neural net-works to vibrational diagnostics for multiple fault conditions. Computer Standards & Interfaces, 24:139.–149, 2002.
[19] I. Daubechies. Ten Lectures on Wavelets. SIAM Publications, 1992.
[20] G. Kitagawa and W. Gersch. A smoothness prior time-varying ar coef-.cient modeling of nonstationary covariance time series. IEEE Trans-actions on Automatic Control, 30:48.–56, 1985.
[21] Renata Klein. Method and system for diagnostics and prognostics of a mechanical system. Patent WO2004059399A2, 2004.
　
中國航空網 www.k6050.com
航空翻譯 www.aviation.cn
本文鏈接地址：OPTIMIZATION OF FAULT DIAGNOSIS IN HELICOPTER HEALTH AND USA(81)