Research in the Operational Modal Analysis of Rotating Machinery Reducer

In operational modal analysis process of the rotating machinery, it is always difficult to adopt usual modal analysis methods in parameter correction because of the modal parameter identification problems caused by harmonic modes. A technique to distinguish harmonic and structural modes is proposed here, that is, through frequency domain decomposition (FDD) of the vibration signals power spectral density matrix and probability density function, the two components (structural modes and harmonic modes) are successfully separated from the overall responses. The experiment indicates that structural modal parameters of the reducer can be obtained in real environment, which provides accurate references to the continuous mining machine reducer parameter correction. The method provides an efficient path for the modal analysis of rotating machinery