Rotating Machine Fault Detection Using Support Vector Machine (SVM) Classifier-Reference-Cited by-同舟云学术

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Rotating Machine Fault Detection Using Support Vector Machine (SVM) Classifier

Published:2023-03-16 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Computing and Communication Systems (I3CS)
language:
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Author:

Md.Ripon Abu Hanif¹,Ullah Muhammad Ahsan¹

Affiliation:

1. Chittagong University of Engineering and Technology (CUET),Department of Electrical & Electronic Engineering (EEE),Chattogram,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10127223/10127224/10127320.pdf?arnumber=10127320

Reference11 articles.

1. Convolutional Neural Network Based Fault Detection for Rotating Machinery

2. Research on Fault Diagnosis and Prediction of Power Plant Fans

3. Advanced feature selection for broken rotor bar faults in induction motors

4. Fault Detection of Bearing using Support Vector Machine-SVM

Cited by 2 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. Fault diagnosis of pumped storage unit based on multi-physical parameter detection;2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia);2024-05-17

2. Development a Sensor System for Sensing Rotating Machines Fault of Heavy Industries;2023 6th International Conference on Electrical Information and Communication Technology (EICT);2023-12-07

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