Like last year, the December issue of IEEE Industrial Electronics Magazine highlights, through three feature articles, some recent advances of industrial electronics in the field of electric motors and drives. In the first article, by Osornio-Rios et al. [A1] , the authors present data fusion system intended for automatic fault diagnosis of electric motors. The proposed data fusion system advantageously combines the analysis of currents, stray magnetic fluxes, and infrared data, using only low-end and noninvasive sensors. In the second article, by Deng et al. [A2] , the authors compare various converter topologies and research progress for high-power ac drives. In addition, a novel medium-frequency ac link powered machine drive system is analyzed in more detail, showing that this new solution represents a good compromise among all the technical constraints inherent to such types of applications. The section ends with an article by Pulle et al. [A3] . In it, the authors present a complete and low-cost framework based on a digital signal processor controller to learn the control theory and techniques of motor drives, which includes several steps: simulation, cosimulation, hardware-in-the-loop, and hands-on experience.

中文翻译：

---

电动机和驱动器：状态监测、大功率应用和教学[编辑专栏]


与去年一样，IEEE 工业电子杂志 12 月号通过三篇专题文章重点介绍了工业电子在电动机和驱动器领域的一些最新进展。在第一篇文章中，作者：Osornio-Rios 等人。 [A1]，作者提出了用于电动机自动故障诊断的数据融合系统。所提出的数据融合系统有利地结合了电流、杂散磁通量和红外数据的分析，仅使用低端和非侵入性传感器。在第二篇文章中，作者：Deng 等人。 [A2]，作者比较了高功率交流驱动器的各种转换器拓扑和研究进展。此外，还对一种新型中频交流链路供电机器驱动系统进行了更详细的分析，表明这种新解决方案代表了此类应用固有的所有技术限制之间的良好折衷。本节以 Pulle 等人的文章结尾。 [A3]。在其中，作者提出了一个基于数字信号处理器控制器的完整且低成本的框架来学习电机驱动的控制理论和技术，其中包括几个步骤：仿真、协同仿真、硬件在环和手动- 经验。