Statistical Inference Model for Gas Discharge Tube Excited by Pulse Based on Poisson Process
Author:
Affiliation:
1. Xi’an Jiaotong University,School of Electrical Engineering,Xi’an,China
2. State Grid Zhejiang Electric Power Company,Hangzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10367197/10367198/10367457.pdf?arnumber=10367457
Reference9 articles.
1. Classification of Intentional Electromagnetic Environments (IEME)
2. Predicting the Breakdown Behaviorof Microcontrollers Under EMP/UWB Impact Using a Statistical Analysis
3. Susceptibility of Personal Computer Systems to Fast Transient Electromagnetic Pulses
4. Multinomial Regression Model for the Evaluation of Multilevel Effects Caused by High-Power Electromagnetic Environments
5. Vulnerability Assessment of Equipment Excited by Disturbances Based on Support Vector Machine and Gaussian Process Regression
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