摘要：AbstractUnwanted oscillations are common source of problems in industrial processes that contain rotational elements. The procedures for detecting and isolating such periodic disturbances are often based on the application of FFT and subsequent analysis in the frequency domain. The approach presented here modifies this procedure: all rotating elements in the system are assumed to produce unwanted oscillations, and the resulting hypothetical power spectral density is continuously compared to the real power spectrum generated by the main process variable. When the real oscillations occur, the results of the comparison indicate their probable source(s). The approach is first demonstrated and tested on simulated data and then verified on real recorded data. The method is primarily intended for inspection of a cold rolling mill whose data were used for verification.
