A fault feature extraction method based on full vector bivariate empirical mode decomposition (BEMD) is proposed for extracting the fault characteristics of rotating machinery more accurately. Firstly, the vibration signals on the same cross section of rotating machinery faults are collected by orthogonal multi sensors, and a complex signal is formed. Then, the BEMD algorithm is applied to decompose adaptively complex signal into the different frequency bands signals according to the rotation speed, which are called complex intrinsic mode functions (CIMFs). Finally, the full vector spectrum technique is used to fuse the characteristic information of CIMFs, and the amplitude frequency, angle and precession direction are obtained. The effectiveness of the proposed method is demonstrated by the comparison with the full spectrum.
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