Integrating machine-learning (ML) models responsible for predicting the evolution of those directly collected or implicitly derived parameters enhances the smartness of industrial systems even further. In this article, data already residing in most modern electric drives has been used to establish a data-driven thermal model of power electronics modules. The developed method … [Read more...] about Machine-Learning-Based Condition Monitoring of Power Electronics Modules in Modern Electric Drives
Power measurement
Ranking Qi Wireless Power Transmitters by Efficiency
The Wireless Power Consortium (WPC) Energy Star Task Force (ESTF), comprised of engineers from major cellphone and consumer electronics manufacturers, test houses, and others, developed a proposed efficiency-test protocol for the U.S. Environmental Protection Agency (EPA), intended to rank Qi wireless power transmitters on the basis of power-transfer efficiency. Key to this … [Read more...] about Ranking Qi Wireless Power Transmitters by Efficiency
