文件列表:

decomp.p (8629, 2006-03-09)
demo (0, 2006-03-10)
demo\ammod.mat (11888, 2005-12-07)
demo\duf.mat (38956, 2005-12-07)
demo\hf.mat (2763, 2005-12-07)
demo\run.fig (11293, 2005-12-15)
demo\run.p (35754, 2006-03-09)
demo\square2.mat (17086, 2005-12-07)
demo\two.mat (16206, 2005-12-07)
hf.mat (2763, 2005-12-07)
pl.m (1768, 2005-12-14)
tilefigs.m (2303, 2004-03-02)

file "README.TXT" The package includes the main Matlab program DECOMP for non-stationary and nonlinear vibration signal decomposition together with the program PL.M for plotting the obtained decomposed results. It also includes some simulation examples and the demo program RUN (Matlab 7.x). The Hilbert Vibration Decomposition method is based on the Hilbert transform signal processing [*]. Run the program RUN and choose a vibration signal. Press the button 'RUN' to start the decomposition procedure. [*] M. Feldman. TIME-VARYING VIBRATION DECOMPOSITION AND ANALYSIS BASED ON THE HILBERT TRANSFORM, Journal of Sound and Vibration. 2006, Vol 295/3-5 pp 518-530. ***************************************************** Function DECOMP (Hilbert Vibration Decomposition) The function DECOMP is a signal processing M-File (Matlab 7.x). It extracts intrinsic quasi-harmonic components Y(t) from the initial signal composition y(t). [Y,A,F,dev]=decomp(y,2); pl(Y,A,F,Fs) Inputs: y – the initial vibration signal in time domain, 2 – the specified number of components Outputs: Y – the matrix of row component (vectors), A – the matrix of the component envelopes, F – the matrix of the relative component instantaneous frequencies, dev – the vector of each component standard deviation. Conversion from the relative frequency F to the absolute frequency Fa [Hz] is made with the formula: Fa=Fs*F where Fs – is the sampling frequency [Hz]. Function PL (Plot) The function PL will plot the results of the decomposition in four subplots: The component waveforms; The sum of the component waveforms; The component instantaneous frequencies and the envelopes; The 3D plot of the instantaneous frequency and the envelope of each component. pl(Y,A,F,Fs); Inputs: Y – the matrix of row component (vectors), A – the matrix of the component envelopes, F – the matrix of the relative component instantaneous frequencies, Fs – the sampling frequency [Hz], EXAMPLE: [Y,A,F,dev]=decomp(y,2); pl(Y,F,A,1000) ****************************************************** LIMITATIONS: The sampling frequency Fs has to be in the range Fs=(20-80)*f0. The minimum of the initial points in time domain is 721. 2006 - Michael Feldman, PhD Technion, Haifa, Israel http://hitech.technion.ac.il/feldman bug-reports email to MFeldman@technion.ac.il

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