Car dumper strain signal analysis based on the histogram processing of HS

As the strain signals of the metal structure is nonlinear, non-stationary and complexity, inevitable, the Hilbert Spectrum(HS) obtained by the classical HHT (Hilbert-Huang Transform) method is often disrupted by noise and performs poor time-frequency concentration which will certainly affect the readability of time-frequency spectrum. This paper aims to extract signal feature from noise background without destruction of the internal characteristics of the signal. A novel HS analysis approach based on histogram processing is proposed. The approach ignores the value of the smaller frequency points, retains larger points of the frequency values. The experiments results showed that the feature of car dumper strain signals was extracted more effectively by using histogram processing compared with the classical HHT methods.