Automated testing and machine-learning-based modeling of air discharge ESD

Air discharge;Electrostatic discharge (ESD);Machine learning

Sagan, Sam ; Rosenbaum ; Elyse

关键词: Air discharge;    Electrostatic discharge (ESD);    Machine learning;   

Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/98434/SAGAN-THESIS-2017.pdf?sequence=1&isAllowed=y

美国|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

An IEC 16000-4-2 compliant, high-accuracy air-discharge automation system is used to study the properties of air discharge electrostatic discharge (ESD). This work corroborates conclusions of previous works and presents new insights into the effects of approach speed on ESD. A methodology for machine-learning-based ESD modeling is presented. Models are validated with a high degree of accuracy against measurement data.