Diagnosing Electric Motor Faults based on Vibration Signals Using YOLOv8-Reference-Cited by-同舟云学术

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Diagnosing Electric Motor Faults based on Vibration Signals Using YOLOv8

Published:2024-06-06 Issue: Volume: Page:191-196
ISSN:
Container-title:2024 9th International Conference on Integrated Circuits, Design, and Verification (ICDV)
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Author:

Tran Hoai - Linh¹,Pham Van - Nam²,Nguyen Duc-Thanh¹,Ba Quang - Huy Do²,Le Xuan-Hai³,Kim Dinh-Thai³

Affiliation:

1. Hanoi University of Science and Technology,School of Electrical & Electronic Engineering,Hanoi,Vietnam,100000

2. Hanoi University of Industry,Faculty of Engineering Electrical & Automation,Hanoi,Vietnam,100000

3. Vietnam National University,Faculty of Applied Sciences International School,Hanoi,Vietnam,100000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616393/10616410/10617366.pdf?arnumber=10617366

Reference25 articles.

1. Internet of Things in Smart Grid: Architecture, Applications, Services, Key Technologies, and Challenges

2. Roller element bearing fault diagnosis using singular spectrum analysis

3. Vibration monitoring of rolling element bearings by the high-frequency resonance technique — a review

4. Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification

5. Faulty bearing detection, classification and location in a three-phase induction motor based on Stockwell transform and support vector machine

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