Multiscale envelope manifold for enhanced fault diagnosis of rotating machines
A new MEM signature is proposed for nonlinear enveloping in machinery fault diagnosis. The MEM combines the envelope information at multiple scales in a nonlinear approach. The multiple scales are determined based on the smoothness index in power spectrum. The MEM has the merits of in-band noise suppression and fault impulse envelope preserving. The good performance is verified in enhanced fault diagnosis of rotating machines.
multiscale envelope manifold machinery fault diagnosis continuous wavelet transform wavelet envelope manifold learning