Using Artificial Intelligence (AI) for Monitoring and Diagnosing Electric Motor Faults Based on Vibration Signals-Reference-Cited by-同舟云学术

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Using Artificial Intelligence (AI) for Monitoring and Diagnosing Electric Motor Faults Based on Vibration Signals

Published:2024-01-17 Issue: Volume: Page:
ISSN:
Container-title:2024 International Conference on Information Networking (ICOIN)
language:
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Author:

Pham Van-Nam¹,Do Ba Quang Huy¹,Tran Le Duc-Anh²,Nguyen Quang-Minh³,Bui Thanh-Lam⁴,Coboi Alberto Ernesto¹

Affiliation:

1. Hanoi University of Industry,Faculty of Engineering Electrical & Automation,Hanoi,Vietnam

2. Hanoi University of Science and Technology,School of Electrical & Electronic Engineering,Hanoi,Vietnam

3. Hanoi University of Science and Technology,School of Information and Communications Technology,Hanoi,Vietnam

4. Vietnam National University,Foreign Language Specialized School,Hanoi,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10572035/10572030/10572186.pdf?arnumber=10572186

Reference21 articles.

1. Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0

2. A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings

3. Challenges and Opportunities of Deep Learning Models for Machinery Fault Detection and Diagnosis: A Review

4. Challenges and Opportunities of AI-Enabled Monitoring, Diagnosis & Prognosis: A Review

5. Intelligent Vibration-based Anomaly Detection for Electric Motor Condition Monitoring;Rahman

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. Diagnosing Electric Motor Faults based on Vibration Signals Using YOLOv8;2024 9th International Conference on Integrated Circuits, Design, and Verification (ICDV);2024-06-06

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