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| Comparison of Prediction Accuracy Between Classification and Convolution Algorithm in Fault Diagnosis of Rotatory Machines at Varying Speed |
| Ki-Yeong Moon, Hyung-Jin Kim, Se-Yun Hwang, Jang Hyun Lee |
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J Navig Port Res. 2022;46(3):280-288. Published online June 30, 2022 DOI: https://doi.org/10.5394/KINPR.2022.46.3.280 |
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Bearing Fault Diagnosis for Time-Varying System Using Vibration–Speed Fusion Network Based on Self-Attention and Sparse Feature Extraction Machines. 2022;10(10):948  Clustering algorithm–based fault diagnosis Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery. 2017;175-229 Diagnosis and Classification of Alzheimer's Disease by Using a Convolution Neural Network Algorithm . 2021; A Study on Fault Classification System Based on Deep Learning Algorithm Considering Speed and Load Condition 2019 22nd International Conference on Electrical Machines and Systems (ICEMS). 2019; Analysis of student’s knowledge using innovative classification and comparison of prediction accuracy with regression algorithm 2022 International Conference on Business Analytics for Technology and Security (ICBATS). 2022; Bearing Fault Diagnosis with Variable Speed Based on Fractional Hierarchical Range Entropy and Hunter–Prey Optimization Algorithm–Optimized Random Forest Machines. 2022;10(9):763 A new angular resampling algorithm for the bearing fault diagnosis under the time-varying rotational speed Journal of Physics: Conference Series. 2015;628:012084 A Graph-based Method to Extract Broken-Rotor-Bar Fault Signature in Varying Speed Operation 2021 24th International Conference on Electrical Machines and Systems (ICEMS). 2021; On the Accuracy of Frequency Based Fault Diagnosis for DTC-driven PMSM 2022 International Conference on Electrical Machines (ICEM). 2022; Classification and redundancy quantitative evaluation algorithm for highly efficient fault diagnosis of rotary machines in roll-to-roll system Measurement. 2023;206:112292 |
