Characterisation of Compressed Windings via High Resolution X-ray Computed Tomography and Semi-Automatic Segmentation-Reference-Cited by-同舟云学术

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Characterisation of Compressed Windings via High Resolution X-ray Computed Tomography and Semi-Automatic Segmentation

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
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Author:

Hoole Joshua¹,Mitchell Ria L.²,North Dominic¹,Simpson Nick¹,Mellor Philip H.¹

Affiliation:

1. University of Bristol,Electrical Energy Management Group,Bristol,United Kingdom

2. University of Sheffield,Department of Materials Science and Engineering,Sheffield,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9968313/9968303/09968418.pdf?arnumber=9968418

Reference16 articles.

1. A micro-computed tomography investigation of the breakdown paths in mica/epoxy machine insulation

2. Challenges in Electric Machine Stator Manufacturing and Their Influences on Thermal Performance

3. What Is a Savitzky-Golay Filter? [Lecture Notes]

Cited by 1 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. Verifying Strand Transposition in Stator Windings via X-ray Computed Tomography derived Three-Dimensional Models;2023 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD);2023-04-13

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