Influence of Standoff Distance and Sunlight on Detection of Pollution Deposits on Silicone Rubber Insulators Adopting Remote LIBS Analysis-Reference-Cited by-同舟云学术

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Influence of Standoff Distance and Sunlight on Detection of Pollution Deposits on Silicone Rubber Insulators Adopting Remote LIBS Analysis

Published:2022-05 Issue:3 Volume:58 Page:3285-3293
ISSN:0093-9994
Container-title:IEEE Transactions on Industry Applications
language:
Short-container-title:IEEE Trans. on Ind. Applicat.

Author:

Vinod Pabbati¹^ORCID,Babu Myneni Sukesh¹^ORCID,Sarathi Ramanujam¹^ORCID,Vasa Nilesh J.²^ORCID,Kornhuber Stefan³

Affiliation:

1. Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India

2. Department of Engineering Design, Indian Institute of Technology Madras, Chennai, India

3. Department of High Voltage Engineering, University of Applied Sciences Zittau/Görlitz, Zittau, Germany

Funder

CPRI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/28/9778222/09736633.pdf?arnumber=9736633

Reference37 articles.

1. Stand-off analysis of moving targets using laser-induced breakdown spectroscopy

2. Impact of Sunlight and Stand-Off Distance on Detection of Pollution Deposit on Silicone Rubber Insulators Adopting Remote LIBS

3. Use of LIBS technique for identification of type of pollutant and ESDD level on epoxy-alumina nanocomposites using ANN

4. Classification of Aged Epoxy Micro–Nanocomposites Through PCA- and ANN-Adopted LIBS Analysis

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Image Visibility Patch Aided Hydrophobic Class Detection of Silicone Rubber Insulators Employing Bi-LSTM Network;2023 IEEE 3rd International Conference on Smart Technologies for Power, Energy and Control (STPEC);2023-12-10

2. Classification of Polluted Silicone Rubber Insulators by Using LIBS Assisted Machine Learning Techniques;IEEE Access;2023

3. Recent trends in laser-based standoff detection of hazardous molecules;TrAC Trends in Analytical Chemistry;2022-08

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