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Vibration signal analysis is robust method of incipient fault diagnosis and condition monitoring. Vibration signature carries dynamics information of machine, when the fault developed in the machine some of the dynamics of machine gets change which changes the vibration pattern. The machine fault diagnosis based on continues assessment procedure need effective signal processing and feature extraction technique. A computation effort of signal processing technique plays important role in the real time condition monitoring and fault diagnosis thus an effort is given for finding and verifying the effectiveness of the different signal processing techniques in terms of the computation effort. The robustness of wavelet transform is also discussed in this reseach. The experimental outcomes show that the proposed method can used as effective tool of condition monitoring.

Computation Effort and Effect of Signal Processing Techniques in Condition Monitoring and Fault Diagnosis of Machine