摘要
由一名新闻记者兼机器人与机器学习每日新闻编辑-研究人员详细介绍了机器学习的新数据。根据NewsRx记者S在印度钦奈的新闻报道，研究表明：“在中等功率应用中，多电平逆变器似乎是传统逆变器的潜在替代品。实时应用现在严重依赖来自可再生能源的现代功率转换器。”新闻记者从SRM科学技术研究所的研究中获得了一句话：“这项研究考察了影响功率半导体器件可靠性的因素，”摘要:本文利用较少的开关制作了13级非对称多电平逆变器,并对其开关损耗、导通损耗、功率损耗等进行了深入的分析。本文采用四种机器学习模型对13电平多电平逆变器的开关缺陷进行了预测,结果表明,支持向量机(S-VM)模型优于其他模型,准确率为96.56%。全面分析关键参数，包括准确性、精确度、召回率和F1分数。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from Chennai, India, by NewsRx journalist s, research stated, “Multilevel inverters appear to be a potential substitute fo r traditional inverters in medium-power applications. Real-time applications now heavily rely on modern power converters from renewable energy sources.” The news correspondents obtained a quote from the research from the SRM Institut e of Science and Technology, “This study examines the factors that affect the fa ilure rate of power semiconductor devices, including temperature and current rat ing. The bathtub curve determines the lifespan of the gadget. This article makes a thirteen-level asymmetric multilevel inverter by using fewer switches and has undergone a thorough analysis to determine switching loss, conduction loss, and failure rate in terms of reliability. This study investigates the prediction of defects in switches within a 13-level multilevel inverter using four machine le arning models. Our investigation demonstrates that the Support Vector Machine (S VM) model surpasses other models with a remarkable accuracy rate of 96.56% . The abstract outlines the creation of a confusion matrix specifically for Supp ort Vector Machines (SVM), providing a comprehensive analysis of key parameters including Accuracy, Precision, Recall, and F1 score.”
NETL
NSTL