The study of chirplet´s diagnosis about fault in mechanical on electric traction shearer under the multi-scale

In allusion to the failure of mechanical system on shearers, this paper proposed a fault diagnosis of traction shearer mechanical systems in multi-scale method based on two-scale decomposition and reconstruction in wavelet analysis. According to the characteristics of the signal, the wavelet analysis can adapt to select the basis function with the closest in energy to make sparse decomposition method more applicable to non-station stationary signal processing. When shearers mechanical system occurs fault in variable speed case, the fault signal frequency will change with engine speed. The changes of mechanical´s fault can be obtained when use the decomposition of signal based on the multi-scale chirp spare, the characteristics of fault can be discerned. This method is approved feasible by MATLAB results.