Fault Diagnosis for Rolling Bearings Using Time-Frequency Energy Matrix Difference and CNN-Reference-Cited by-同舟云学术

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Fault Diagnosis for Rolling Bearings Using Time-Frequency Energy Matrix Difference and CNN

Published:2023-11-17 Issue: Volume: Page:317-321
ISSN:
Container-title:2023 9th International Conference on Mechanical and Electronics Engineering (ICMEE)
language:
Short-container-title:

Author:

Li Lin¹,Yuan Xiaoxi¹,Yang Congkun¹

Affiliation:

1. Xi'an Technological University,Electronic Information Engineering,Xi'an,China

Funder

National Natural Science Foundation of China

Key Research and Development Project of Shaanxi Province

State Key Laboratory of Industrial Control Technology

Zhejiang University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10525258/10525262/10525623.pdf?arnumber=10525623

Reference11 articles.

1. A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network

2. Detection of Motor Bearing Outer Raceway Defect by Wavelet Packet Transformed Motor Current Signature Analysis

3. Bearing fault detection based on hybrid ensemble detector and empirical mode decomposition

4. An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network

5. Applications of machine learning to machine fault diagnosis: A review and roadmap

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