摘要
Robotics&Machine Learning Daily News的一位新闻记者兼工作人员新闻编辑每日新闻-机器学习的新数据在一份新的报告中呈现。根据NewsRx编辑在印度Coimbatore的新闻报道，这项研究表明：“级联多电平逆变器(CMLI)用于广泛的大功率工业驱动和集成SOLA R PV系统。与对称级联多电平逆变器(SCMLI)相比，不对称级联多电平逆变器(ACMLI)产生的输出电压降低了总谐波失真(THD)。”我们的新闻记者从Kumaraguru Coll of Technology的研究中获得了一句话：“ACMLI包含更多的半导体器件，因此可靠性是一个主要问题。ACMLI需要高效、高速和精确的故障检测，以降低故障率并避免计划外停机。RMS Voltage，以单、双开关各种故障状态下的平均电压和THD为特征进行故障诊断，提出了基于概率主元分析(PPCA)和集成机Le Arning(EML)的ACMLI故障诊断方法，并利用PPCA优化数据，减小故障特征的大小。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Coimbatore, India, by NewsRx editors, the research stated, “Cascaded Multi -Level Inverters (CMLI) ar e used in a wide range of high -power industrial drives and for integrating sola r PV system. Asymmetric Cascaded Multilevel Inverter (ACMLI) produces an output voltage with reduced Total Harmonic Distortion (THD) when compared to Symmetric Cascaded Multilevel Inverter (SCMLI).” Our news journalists obtained a quote from the research from the Kumaraguru Coll ege of Technology, “ACMLI comprises of more semiconductor devices and thus relia bility is a major concern. Efficient, high speed and precise fault detection is required for ACMLI to reduce failure rates and avoid unplanned shutdown. RMS vol tage, mean voltage and THD under various single and double switch fault conditio ns are used as features for fault diagnosis. Fault diagnosis method for ACMLI ba sed on probabilistic principal component analysis (PPCA) and Ensemble Machine Le arning (EML) is presented. PPCA is used to optimize data and reduce the size of fault features.”
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