Self-Calibrating Loss Models for Real-Time Monitoring of Power Modules Based on Artificial Neural Networks-Reference-Cited by-同舟云学术

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Self-Calibrating Loss Models for Real-Time Monitoring of Power Modules Based on Artificial Neural Networks

Published:2022-10-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Energy Conversion Congress and Exposition (ECCE)
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Author:

Kalker Sven¹^ORCID,Meier David¹^ORCID,van der Broeck Christoph H.¹^ORCID,De Doncker Rik W.¹^ORCID

Affiliation:

1. Institute for Power Electronics and Electrical Drives, RWTH Aachen University,Aachen,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9947299/9947300/09947691.pdf?arnumber=9947691

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. More Efficient Energy Management for Hybrid AC/DC Microgrids With Hard Constrained Neural Network-Based Conversion Loss Surrogate Models;IEEE Transactions on Smart Grid;2024

2. Reliable Thermal Monitoring of Electric Machines through Machine Learning;2023 IEEE International Conference on Prognostics and Health Management (ICPHM);2023-06-05

3. Degradation Diagnosis During Active Power Cycling via Frequency-Domain Thermal Impedance Spectroscopy;2023 11th International Conference on Power Electronics and ECCE Asia (ICPE 2023 - ECCE Asia);2023-05-22

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