Partial Discharge Detection by Edge Computing

Author:

Klein Lukáš1ORCID,Žmij Petr2,Krömer Pavel1ORCID

Affiliation:

1. Department of Computer Science, VSB—Technical University of Ostrava, Ostrava, Czech Republic

2. Industrial Engineering, Brose Group, Koprivnice, Czech Republic

Funder

European Regional Development Fund within the Operational Program Research, Development and Education in projects “A Research Platform Focused on Industry 4.0 and Robotics in Ostrava Agglomeration”

Doctoral Grant Competition, VSB—Technical University of Ostrava

Student Grant System

Doctoral Grant Competition “Partial Discharge Detection in Insulation Systems,” VSB—TU Ostrava

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference61 articles.

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2. The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

3. Benchmark analysis of Jetson TX2, Jetson Nano and raspberry PI using deep-CNN;suzen;Proc Int Congr Human-Comput Interact Optim Robotic Appl (HORA),2020

4. On the Accuracy of Software-Based Energy Estimation Techniques

5. Usage of antenna for detection of tree falls on overhead lines with covered conductors;misak;Adv Electr Electron Eng,2017

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