Intelligent Identification of Rotor Axis Trajectory Based on Anti-Grayscale Preprocessing and Convolutional Neural Networks
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9686797/9686763/09686870.pdf?arnumber=9686870
Reference18 articles.
1. Identification of Rotor Shaft Orbit Based on Combined Moment Invariants and Random Forest;cai;Machine Tool & Hydraulics,2020
2. Convolutional Neural Network Based Fault Detection for Rotating Machinery
3. Motor Fault Diagnosis Based on Short-time Fourier Transform and Convolutional Neural Network
4. Bearing Fault Diagnosis with a Feature Fusion Method Based on an Ensemble Convolutional Neural Network and Deep Neural Network
5. Application of deep convolution neural network in identification of journal bearing rotor center orb;guo;Journal of Vibration and Shock,2021
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1. Diagnosing Sliding Bearing Failures using the Frequency Domain Integration and PCA Methodology;2023 IEEE 6th International Electrical and Energy Conference (CIEEC);2023-05-12
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