Diagnostics of vibration and noise via Fourier transforms: A new approach

Abstract

A new general optimal approach and new diagnostic features are proposed, for those cases where one- and multidimensional Fourier transforms are used for diagnostics of vibration and noise. For the forced oscillation vibroacoustical diagnostics method with Gaussian excitation, the optimal nonlinear transformation of the proposed features is received. It was shown (1) The power spectral density is optimal transformation for considered diagnostics only for specific situations; (2) The phase spectrum is not optimal transformation for considered diagnostics; and (3) The proposed approach provides the increment of diagnostics effectiveness in contrast with usage of power spectral density. This is in contrast to most applications concerning diagnostics of vibration and noise, where power spectral density is used.