Vibration Analysis for Machine Monitoring and Diagnosis: A Systematic Review
Table 11
The most influencing articles for each methods.
Methods
Articles’s name
Number of citation
Time domain
Fault diagnostics of rolling element bearing using the NN method and the time domain features of RMS and kurtosis conducted by [63]. From the results, the proposed method can still effectively diagnose the machine even with the reduced number of inputs.
762
Frequency domain
A research conducted by [86] to study the relationship between the classical envelope analysis and spectral correlation analysis in the diagnostics of bearing faults. It was shown that the envelope analysis provided the same results as the complex spectral correlation function.
613
Time-frequency domain
A study on applying the CWT method in the feature extraction of mechanical vibration signals conducted by [101]. The results proved that the proposed method is more effective than the Donoho’s “soft-thresholding denoising” method.
