Flashover Identification of Aged Silicone Rubber Insulators Using Partial Discharge Signal Processing and Machine Learning Random Forest Algorithm-Reference-Cited by-同舟云学术

Flashover Identification of Aged Silicone Rubber Insulators Using Partial Discharge Signal Processing and Machine Learning Random Forest Algorithm

Published:2022-07-15 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
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Author:

Sankarganesh R.¹,Chandrasekar S.²

Affiliation:

1. Vinayaka Mission's Research Foundation (Deemed to be University),Vinayaka Mission's Kirupananda Variyar Engineering College,Department of Electrical and Electronics Engineering,Salem,Tamilnadu,India,636308

2. Sona College of Technology,SonaPERT R&D Centre,Salem,Tamilnadu,India,636005

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9914000/9914005/09914356.pdf?arnumber=9914356

Reference16 articles.

1. Effects of Artificial Tropical Climate Aging on Insulation Performance of Silicone Rubber Polymeric Insulators

2. The aging mechanisms of chalking service-aged silicone rubber insulators

3. Comparative Study Between Deep Learning Techniques and Random Forest Approach for HRRP Based Radar Target Classification

4. Phishing Detection using Random Forest, SVM and Neural Network with Backpropagation

5. A Comparative Analysis on Random Forest Algorithm Over K-Means for Identifying the Brain Tumor Anomalies Using Novel CT Scan with MRI Scan

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