CrossRef Text and Data Mining
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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
J Navig Port Res. 2022;46(3):280-288.   Published online June 30, 2022

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Bearing Fault Diagnosis for Time-Varying System Using Vibration–Speed Fusion Network Based on Self-Attention and Sparse Feature Extraction
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Clustering algorithm–based fault diagnosis
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Diagnosis and Classification of Alzheimer's Disease by Using a Convolution Neural Network Algorithm
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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;   Crossref logo

Analysis of student’s knowledge using innovative classification and comparison of prediction accuracy with regression algorithm
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Bearing Fault Diagnosis with Variable Speed Based on Fractional Hierarchical Range Entropy and Hunter–Prey Optimization Algorithm–Optimized Random Forest
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A new angular resampling algorithm for the bearing fault diagnosis under the time-varying rotational speed
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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;   Crossref logo

On the Accuracy of Frequency Based Fault Diagnosis for DTC-driven PMSM
2022 International Conference on Electrical Machines (ICEM). 2022;   Crossref logo

Classification and redundancy quantitative evaluation algorithm for highly efficient fault diagnosis of rotary machines in roll-to-roll system
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