An AI-based Architecture Framework for Improving End-of-line Reliability Tests of Electric Motors-Reference-Cited by-同舟云学术

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An AI-based Architecture Framework for Improving End-of-line Reliability Tests of Electric Motors

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:

Soyturk Mujdat¹,Coskun Kutalmis¹,Izmitlioglu Onur¹,Tumer Borahan¹,Gunes Deniz²,Saracoglu Sinan²,Bulut Baris³,Ketmen Hasan Burak³,Hanedar Ismethan⁴,Asan Tasemir⁴,Aydin Eray⁵

Affiliation:

1. Marmara University,İstanbul,Turkey

2. Arçelik A.Ş.,İstanbul,Turkey

3. Enforma Bilişim A.Ş.,İstanbul,Turkey

4. PAVOTEK A.Ş.,İstanbul,Turkey

5. WAT Motor A.Ş.,Tekirdağ,Turkey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9968313/9968303/09968853.pdf?arnumber=9968853

Reference26 articles.

1. A Cloud-based Architecture for the Internet of Things targeting Industrial Devices Remote Monitoring and Control

2. Enabling of Predictive Maintenance in the Brownfield through Low-Cost Sensors, an IIoT-Architecture and Machine Learning

3. User-friendly high-precision electric motor testing system;de almeida;4th Int Conf Energy Efficiency Motor Driven Syst,2005

4. Low-cost real-time monitoring of electric motors for the Industry 4.0

5. Comparison of end of line tests for serial production of electric motors in hybrid truck applications

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