Abstract:Aimed at the problem of difficult to extract the faint fault feature of axial plunger piston pump of inclined disk type, a method based on adaptive EEMD-enhancement factor was presented. Fault signals were decomposed into a group of intrinsic mode functions (IMFs) with ensemble empirical mode decomposition (EEMD), as to highlight the fault characteristic and inhibit unrelated elements by using the enhancement factor of IMF as its weight to synthetic signal. The synthetic signal was decomposed with EEMD operation, and the sensitive component was constructed with the IMFs which were the best represents of fault information as they were selected according to their sensitive factor. The envelope spectral of reconstructed signal was obtained by executing Hilbert transform to it, and the actual fault was diagnosed by the analysis of the gained envelope spectral. The validity and superiority of the method are demonstrated by the analysis results of simulation signal and the engineering measured data of hydraulic pump.