Abstract:Aiming at the problem of local modal aliasing of motor bearing fault signal for extreme-point symmetric mode decomposition (ESMD), an improved fault condition of ESMD motor bearings based on rational Hermite interpolation and cubic spline interpolation was proposed.Since the first rational Hermite interpolation can adjust the interpolation curve by controlling the shape parameters, the instantaneous frequency bandwidth of the Intrinsic Mode Function (IMF) was used as the optimization criterion, and the combination of rational Hermite interpolation and cubic spline interpolation was avoided.The interpolation takes too long, and the smoothness of the interpolation curve is considered.The particle swarm optimization (PSO) algorithm with adaptive weight adjustment determines the optimal shape control parameters of each order IMF, avoiding falling into local optimum and making the IMF optimal, thereby improving ESMD adaptability and decomposition accuracy.The experimental results show that the proposed method can effectively extract the fault characteristics of motor bearings and effectively alleviate the aliasing of ESMD modes.Compared with other methods, the decomposition effect is better.
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