Time-domain Analysis of Vibration Signals of Rotating Machinery with defects under varying load conditions-Reference-Cited by-同舟云学术

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Time-domain Analysis of Vibration Signals of Rotating Machinery with defects under varying load conditions

Published:2023-05-10 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Control, Automation and Diagnosis (ICCAD)
language:
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Author:

Ignjatovska Anastasija¹,Petreski Zlatko¹,Domazetovska Simona¹,Pecioski Damjan¹

Affiliation:

1. Skopje University SS. Cyril and Methodius,Faculty of Mechanical Engineering,Skopje,North Macedonia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10151847/10152298/10152458.pdf?arnumber=10152458

Reference28 articles.

1. Rolling bearing diagnosing method based on time domain analysis and adaptive fuzzy-means clustering;sheng;Shock and Vibration,2016

2. Research on Multi-Fault Diagnosis Method Based on Time Domain Features of Vibration Signals;wang;SENSORS,2021

3. On the Usefulness of Pre-processing Methods in Rotating Machines Faults Classification using Artificial Neural Network;alzghoul;Journal of Computational and Applied Mechanics,2021

4. ARTIFICIAL NEURAL NETWORK BASED FAULT DIAGNOSTICS OF ROLLING ELEMENT BEARINGS USING TIME-DOMAIN FEATURES

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. Classification of present faults in rotating machinery based on time and frequency domain feature extraction;Vibroengineering Procedia;2023-10-20

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