Kothoke, Priyanka and Deshpande, Anupama and Chaudhari, Yogesh (2021) Partial Discharge Type Detection utilizing Statistical Techniques (n-q) and Random Forest Method. In: Proceedings of the First International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India.
![[thumbnail of 42779.pdf]](http://eprints.eai.eu/style/images/fileicons/application_pdf.png "42779.pdf")
PDF
42779.pdf
Download (831kB)
Abstract
Partial Discharge (PD) designs are critical instrument for the findings of high voltage (HV) protection frameworks. Human specialists can find conceivable protection absconds in different portrayals of the PD information. One of the most broadly utilized portrayals is Phase-Resove,d PD (PRPD) design
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 14:01 |
| Last Modified: | 17 Apr 2026 09:27 |
| URI: | http://eprints.eai.eu/id/eprint/32791 |
Actions (login required)
- View Item