Diesel engine combustion resonant frequency extraction method based on empirical wavelet and Hilbert transform
An empirical wavelet and resonance frequency technology, applied in the field of signal processing, can solve the problem of the influence of resonance frequency calculation accuracy, and achieve the effect of strong adaptability, high accuracy and high precision
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[0022] The following examples describe the present invention in more detail.
[0023] combine figure 1 , the concrete steps of the present invention are as follows:
[0024] Step 1: First perform Fourier transform on the cylinder pressure signal f(t)
[0025]
[0026] Where t is time and f is frequency. Use the "scale space algorithm" to determine N meaningful maximum points in the cylinder pressure spectrum, and use them as combustion fluctuation modes. Specifically, define the kernel function first where n is the scale parameter, then the discrete scale space can be defined as
[0027]
[0028] in In order to ensure that the approximation error is negligible. Since the Fourier spectrum is often mixed with noise, the scale-space algorithm removes features with lengths smaller than The local detailed information of the spectrum can be obtained to obtain the rough mode information in the spectrum.
[0029] According to the modal information defined by the "scal...
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