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[22] Brian D. Larder, R. Callen, and R. Salter. Intelligent management of hums data: Development of a vibration health monitoring anomaly detection system. In American Helicopter Society 62th Annual Forum, 2006.
[23] W. Lewis, C. Perry, and J. Keller. Airworthiness releases as a result of condition based maintenance. In 32nd European Rotorcraft Forum, Maastricht, Nederland, September 2006.
[24] J.E. Lopez, I.A. Farber-Yeldman, K.A. Oliver, and M.W. Protz. Hi-erarchical neural networks for improved fault detection using multiple sensors. In American Helicopter Society 52nd Annual Forum, 1996.
[25] P.-J. Lu, M.-C. Zhang, T.-C. Hsu, and J. Zhang. An evaluation of engine faults diagnostics using arti.cial neural networks. Journal of Engineering for Gas Turbines and Power, 123, 2001.
[26] J. Ma. Energy operator and other demodulation approaches to gear defect detection. In Proceedings of the 49th Meeting of the Society for Machinery Failure Prevention Technology (MFPT), Virginia Beach, Vir-ginia, USA, 1995.
[27] S. Mallat. A theory of multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11:674–693, 1989.
[28] H.R. Martin. Statistical moment analysis as a means of surface damage detection. In Seventh International Modal Analysis Conference, Sch-enectady, New York, USA, 1989.
[29] Gary M. McBrien. Vibration monitoring system for gas turbine engines. Patent WO03056284A2, 2003.
[30] P.D. McFadden. Examination of a technique for the early detection of failure in gears by signal processing of the time domain average of the meshing vibration. Mechanical Systems and Signal Processing, 1(2):173.–183, 1987.
[31] P.D. McFadden. A technique for calucalting the time domain averages of the vibration of the individual planet gears and sun gear in an epicyclic gearbox. Journal of Sound and Vibration, 144(1):163.–172, 1991.
[32] P.D. McFadden and I.M Howard. The detection of seeded faults in an epicyclic gearbox by signal averaging of the vibration. Technical report, Australian Defense Department: Defense Science and Technology Orga-nization Aeronautical Research Laboratory, ARL-PROP-R-183, 1990.
[33] E. Mermoz. Automatisation du Diagnostic Vibratoire des Transmissions de Puissance d’Helicoptere. PhD thesis, Ecole Nationale Supérieure d’Arts et Métiers, 2002.
[34] J. Moré and D. Sorensen. Computing a trust region step. SIAM J. Sci. and Stat. Comput., 4(3):553–572, 1983.
[35] Hasan Ocak and Kenneth A. Loparo. Estimation of the running speed and bearing defect frequencies of an induction motor from vibration data. Mechanical Systems and Signal Processing, 18:515–533, May 2004.
[36] J.G. Proakis and D.G. Manolakis. Digital Signal Processing: Principles, Algorithms, and Applications. Englewood Cli.s, NJ: Prentice Hall, 1996.
[37] J. K.rte. An approach to management of health monitoring applications. Journal of Quality in Maintenance and Engineering, 2002.
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