Vibration-based condition monitoring requires vibration measurement on each bearing pedestal and then signal processing for all the measured vibration data to identify fault(s), if any, in a rotating machine. Such a large vibration data set makes the diagnosis process complex generally for a large rotating machine supported through a number of bearing pedestals. Hence a new method is proposed in the present research study to construct a single composite spectrum using all the measured vibration data set. This composite spectrum is expected to represent the dynamics of the complete machine assembly and can make fault diagnosis process relatively easier and straightforward. The paper presents the concept of the proposed composite spectrum and the results when applied to a laboratory test rig with different simulated faults.

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