Monitoring of a machine with a rotating machine component

Abstract

In a method for the automated monitoring of a machine with a rotating machine component, at successive measurement times parameter values (P) of operating parameters of the machine and in each case over a predefined measurement duration, vibrations of the machine are recorded. A vibration spectrum (Y(f)) of the vibrations recorded during the measurement duration is determined for each measurement duration. A mean power density (Φ) of the vibration spectrum (Y(f)) is in each case determined from the vibration spectrum (Y(f)) for a multiplicity of frequency ranges. During a learning phase a model function ({circumflex over (Φ)}(P) to {circumflex over (Φ)}(P)) for an averaged power density is determined for each frequency range as a function of the operating parameters. During a monitoring phase for each measurement time and each frequency range an expected mean power density ({circumflex over (Φ)}(P)) is determined from the model function ({circumflex over (Φ)}(P) to {circumflex over (Φ)}(P)) established in the learning phase for the frequency range, and compared with the mean power density (Φ) established from the recorded vibrations.