Cathode Position Detection in a Transferred Arc Plasma Using Artificial Neural Network
Author:
Affiliation:
1. Process Engineering and Instrumentation Department, CSIR-Institute of Minerals and Materials Technology, Bhubaneswar, India
Funder
Science and Engineering Research Board (SERB), DST, Government of India
CSIR
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Condensed Matter Physics,Nuclear and High Energy Physics
Link
http://xplorestaging.ieee.org/ielx7/27/10079712/09998184.pdf?arnumber=9998184
Reference34 articles.
1. Investigation of transmission system voltage flicker due to multiple AC and DC furnace operations
2. Application of radial basis function networks to model electric arc furnaces
3. Copper cathode erosion by an electric arc - the causes of the variations of the erosion rate with the electrode gap
4. Modeling and control of an electric arc furnace
5. System identification of a three-phase submerged-arc ferrosilicon furnace
Cited by 2 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. Instability and fault analysis of arc plasma using advanced signal processing methods;Review of Scientific Instruments;2023-10-01
2. Monitoring of Arc Plasma Process Parameter Using CNN-Based Deep Learning Algorithm to Accommodate Sensor Failure;IEEE Transactions on Plasma Science;2023-06
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