Analyzing on-line partial discharge (PD) data using commercially available spreadsheet application software like Microsoft Excel is possible but very difficult to do. The problem is because the PD data are quite long and depend on the sampling rate used during testing. Increasing the sampling rate will increase data samples in one cycle of 50 Hz waveform, and longer time is needed to analyze the data. A further problem is associated with compiling the PD data; Excel uses a large memory to run, plot and calculate the PD data for analysis purpose, and sometimes this leads to computer memory crash. Due to this problem, an alternative on-line PD analyzer (on-LPDA) needs to be developed. This paper reports on the performance of the software that was developed using LabViewTM 8.5. The result shows that the software can extract PD parameters like PD numbers, PD magnitude, and plotting PD pattern without large time and memory consumption, compared with Excel, and experiences no memory crash up to 125 mega sampling (MS) rate.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.