A Machine Learning Approach for Anomaly Detection in Power Mixing Equipment Intelligent Bearing Fault Diagnosis-Reference-Cited by-同舟云学术

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A Machine Learning Approach for Anomaly Detection in Power Mixing Equipment Intelligent Bearing Fault Diagnosis

Published:2023-01-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 3rd International Conference on Power, Electronics and Computer Applications (ICPECA)
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Author:

Fang Ce¹,Wang Qian²,Huang Binbin³

Affiliation:

1. Zhejiang Canaan Technology Limited,China,325100

2. Krirk University,International College,Bangkok,Thailand,10220

3. Zhejiang Canaan Technology Limited,Wenzhou,China,325100

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10075685/10075655/10076055.pdf?arnumber=10076055

Reference28 articles.

1. Neural network approach for estimation of hole-diameter in thin plates perforated by spherical projectiles

2. Approximation capabilities of multilayer feedforward networks

3. A review on machinery diagnostics and prognostics implementing condition based maintenance;jardine;Mechanical Systems and Signal Processing,2006

4. Ball Bearing Fault Diagnosis Using Machine Learning Techniques;peng;Proceedings of 2011 8th Asian Control Conference (ASCC),2011

5. Prognostic health management techniques for intelligent condition monitoring of offshore renewable generation assets

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1. Advanced Anomaly Detection in Manufacturing Processes: Leveraging Feature Value Analysis for Normalizing Anomalous Data;Electronics;2024-04-05

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