1Roberto Ricci,Paolo Pennacchi.Diagnostics of gear faultsbased on EMD and automatic selection of intrinsic modefunctions[J].Mechanical Systems and Signal Processing,20l 1,25(3):821- 838.
5N.Li,Z.T.Wu,Y.Y.He,et al,Hidden Markovmodel-based fault diagnostics method in speed-up and speed-down process for rotating machineryU].Mechanical Systems and Signal ProcessinF_,2005,19(2):329- 3 39.
3Ocak H, Loparo K A. New bearing fault detection and diagnosis scheme based on hidden Markov modeling of vibration signals. Proceedings. 2001 IEEE International Conference, 2001, 5:3141-3144.
4Agazzi O E, Kuo S. Joint normalization and recognition of degraded document images using psuedo-2D hidden Markov models. Proceedings of the Second International Conference, 1993,155- 158.
5Ikbal S, Bourlard H, Bengio S. IDIAP HMM/HMM2 system: theoretical basis and software specifications. IDIAP research report, Martigny, Switzerland. 2001.
6Huang N E,Shen Z,and Long S R.The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis[J].Proc.R.Soc.Lond.A,1998,454:903-995.
7Huang N E.Computer implicated empirical mode decomposition method,apparatus,and article of manufacture[P].U.S.Patent Pending 1996.
8Flandrin P,Gabriel Rilling G,and Goncalves P.Empirical mode decompositon as a filter bank.IEEE Signal Processing Letters,2004,11(2):112-114.
9Wu Z and Huang N E.A study of the characteristics of white noise using the empirical mode decomposition method.Proc.R.Soc.London A,2002,submitted for publication.
10Chen Qiu-hui,Huang Norden,Riemenschneider S,and Xu Yuesheng.A B-spline approach for empirical mode decompositions.Advances in Computational Mathematics,2006,24(1-4):171-195.
