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Statistical Methods for the Optimization of Random Signal Parameters in Acoustic and Dynamic Emissions


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DOI: https://doi.org/10.15866/ireme.v17i10.23515

Abstract


This study aims to analyze the sound and dynamic (vibration) signal in detail with special computer software to optimize the signal's most representative parameters (features). These parameters could distinguish between the signals emitted from different sources or the same source but under different working conditions. Analysis of the results for the signals showed that the optimum features of the signal, in turn, are signal energy, event count, rise time, duration, and finally, signal amplitude, depending on their sensitivity to any change in the original signal. These results of knowing the weight of each parameter in random sound signals reinforce using the most powerful non-destructive field test method, the Acoustic Emission testing method, to be used for live monitoring of the signals emitted from industrial products to inspect the inside defects.
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Keywords


Acoustic Emission; Non-destructive Test; Sine Wave; Modern Acoustic Emission

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