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Abstract
Fault diagnosis of rotating machinery is very important for the early
detection of failure to secure the proper function of the rotating machine
and to prevent damage.
The present thesis focuses on the fault detection in rotor-bearing system.
Vibration measurement is achieved for both new and faulty test rig rotorbearing
system with many established defects (unbalance, misalignment,
looseness and fault bearing).
Experimental modal analysis of a rotor-bearing system has been made to
recognize the rotor-bearing system features.
The prediction of bearing stiffness from modal data has been discussed
since its effect on the machine performance is crucial as well as the noise
emanating from the machine.
The FFT spectrum analysis and Discrete Wavelet Transform (DWT) are
applied to the measured signals to determine the correlation between the
type of the established defect and any of these two approaches.
Comparison of resulted signals is made for the two cases of new and
defective system under the effect of each fault. It is shown that DWT is a
very powerful tool to indicate the presence of machine faults, in addition
to the determination the type of this fault.