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Predictive models

Machine-Learning-Based Condition Monitoring of Power Electronics Modules in Modern Electric Drives

March 15, 2023 by Dinan Li

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

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About the Magazine

IEEE Power Electronics Magazine publishes peer-reviewed articles related to power electronics and its applications which encompass the effective use of electronic components, application of control theory and circuit design techniques, and the development of analytical tools used in efficient and effective energy conversion, control, utilization, and conditioning of electric power.

The IEEE Power Electronics Magazine is limited to the field of interest of the IEEE Power Electronics Society. Topics also include publication of new trend technologies that are being pursued by industry, design practices and case studies, significant amount of state of the art surveys tutorials, and non-technical contributions: news about society activities, interviews, and historical articles.

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To educate, inform, and entertain our community of IEEE Power Electronics Society members on technology, events, industry news, and general topics relating to consumer electronics and to further serve and support our Members in professional career development through tutorials and raising awareness of engineering tools and technologies.

The magazine is archived in IEEE Xplore, and articles from all issues are available for download.

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