Visualization of vibration phenomena on model turbine rotor using cross-correlation method based on in-place fast Haar wavelet transform

In this paper we present the results of applying the cross-correlation (CC) method based on the in-place fast Haar wavelet transform (IpFHWT) to know the correlation between the received signals associated with vibration phenomena on a model turbine rotor. It is required to detect typical vibration of turbine and generator accurately. Modern power plants usually use one-high pressure and one or two lower pressure turbines. We make the model turbine with three rotors supported with journal bearings and simulated abnormal conditions. The vibration caused by the abnormal conditions is measured with accelerometers, displacement meters, and acoustic emission sensors. The cross-correlation of acceleration signals is obtained in the time-frequency domain by using the CC-IpFHWT.