Advances in Condition Monitoring of Machinery in Non-stationary Operations

Literatures have shown that there is a significant rise in the use of measured vibro-acoustic signals for faults diagnosis in rotating machines. This is particularly based on the premise that affluent information about a rotating machine’s operating conditions is usually conveyed by the sounds of the ma-chine. Several earlier studies have already shown the usefulness and capabilities of amplitude spectra for faults diagnosis. However, very limited analyses of ro-tating machine’s vibro-acoustic signals are available in literatures. Hence, the current study compares the fused amplitude spectra of measured vibration signals from a flexibly supported rotating machine with different faults, using ac-celerometers and microphones. The experiments, spectra computations and ob-servations are presented here.