Abstract— the goal of the research presented in this paper is to classify controlled partial discharges generated under different test conditions using acoustic measurement technique and pattern recognition tools based on artificial neural networks (ANN).
In the case of partial discharge application, the PD event generates an acoustic wave inside the insulation layer that propagates through the different insulation and semiconductor layers to reach the surface, where it will be picked up by the optical AE sensors.
Can acoustic PD data be used to classify partial discharges?
The developed classifier exhibited an average recognition rate of 91 % with re-spect to classifying the four different types of partial discharges considered in this study. The ANN classifier presented in this work using acoustic PD data has potential to analyze partial discharges generated in practical insulation systems.
What acoustic detection methods are used to detect partial discharge?
Scan for more details Hang Ji et al. Research on characteristics of acoustic signal of typical partial discharge models 119 In terms of PD location, PD detection methods mainly include pulse current, ultra-high frequency (UHF) detection, acoustic detection, and optical detection .
The sound/acoustic signals produced by discharges are recorded using an acoustic sensor. An envelope detection technique is then applied in order to transform the acquired acoustic signals into a low-fre-quency signal. The dominant frequency components of the envelope were used as input feature vectors for the developed ANN-based classifier.
Are void discharges a useful acoustic measurement?
Since no data is available for void discharges there is no basis to conduct an analysis. However a more fundamental investigation should be conducted using many types of different voids, both in size and material in order to fully discard the usefulness of acoustic measurements of void discharges.
Are acoustic discharges more sensitive than electrical measurements?
The results obtained showed that the acoustical methods are more sensitive than the electrical measurements (fig. 51), and that discharges that are barely detectable electrically give rise to high acoustic peaks (fig. and 5, and sometimes the corona cannot be detected at all 5) 52 electrically (fig 54-55).