Fault diagnosis of insulators from ultrasound detection using neural networks-Reference-Cited by-同舟云学术

Fault diagnosis of insulators from ultrasound detection using neural networks

Published:2019-11-22 Issue:5 Volume:37 Page:6655-6664
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Frizzo Stefenon Stéfano¹,Silva Marcelo Campos¹,Bertol Douglas Wildgrube¹,Meyer Luiz Henrique²,Nied Ademir¹

Affiliation:

1. Department of Electrical Engineering, Santa Catarina State University (UDESC), Paulo Malschitzki 200 (Zona Industrial Norte), Joinville SC, Brazil

2. Department of Electrical Engineering, Regional University of Blumenau (FURB), São Paulo 3250 (Itoupava Seca), Blumenau SC, Brazil

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference39 articles.

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2. Detection and classification of defects in ceramic insulators using RF antenna;Anjum;IEEE Transactions on Dielectrics and Electrical Insulation

3. Stefenon S.F. , Meyer L.H. and Molina F.H. , Real Time Automated Diagnosis of Insulating System Employng Ultrasound Inspection, in XXIII International Conference on Electricity Distribution, Lyon, France: CIRED, 2015.

4. Patel B. , Paranjape R. , Mehrandezh M. and Zhang L. , Ultrasonic inspection of underwater guy wires with applications to floating oil platforms, in IEEE Canadian Conference on Electrical and Computer Engineering, Vancouver, Canada: CCECE, 2016.

5. RF-Based Monitoring and Classification of Partial Discharge on Wet Silicone Rubber Surface;Shurrab;IEEE Transactions on Dielectrics and Electrical Insulation,2013

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