A New Approach of Wavelet De-Noising on Various Types of Acoustic Emission Partial Discharges Signals


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Abstract


Recovering the detected acoustic emission of partial discharge (PD) from noise interference is essential in determining its type. Various researches have shown that the wavelet has the potential in eliminating noise interference in acoustic emission of PD signal. This work describes a new de-noising method by employing the new thresholding approach using the present available structure of wavelet transform and its components. Experimental works is performed in order to obtain acoustic signal from three types of PD namely corona discharge, internal discharge and surface discharge. A critical assessment is carried out in order to ascertain the capability of the proposed method. The analysis using the mother wavelet and its frequency bands are then investigated in order to identify the best selection for the de-noising selection. The achieved results are measured based on their level of cleanliness. From the results, it can be concluded that the selected structure for the new method using the proposed method shows a significant improvement and excelled by 25.1% against the compared method in de-noising the acoustic emission of PD signals
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Keywords


Partial Discharges; Wavelet; De-Noising; Thresholding; Ultrasonic Acoustic Emission

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References


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