An efficient and efficacious response to the continuous request of "high performance", in terms of qualitative standards, becomes one of the most important factors in determining the profit of a business. The aim of this paper is to check the reliability of a signal analysis method based on a Discrete Wavelet Transform (DWT). This algorithm appears useful in revealing anomalies that are added to a regular signal. Such anomalies, characterized by high frequency, small amplitude and short period, generally are filtered in a data logging or sampling. Moreover, it has been illustrated how, for each level of the DWT, the maximum value of the entropy allows the location as well as the best graphical representation of the phenomenon in study. In this paper the results obtained during the functioning of an experimental equipment will be shown.
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