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Multi-Scale Cluster-Graph Convolution Network With Multi-Channel Residual Network for Intelligent Fault Diagnosis.

, , , , , , and . IEEE Trans. Instrum. Meas., (2022)

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Bearing Fault Diagnosis Using Modified Multi-scale Sample Entropy and One-against-rest Feature Selection., , and . CAA SAFEPROCESS, page 1-6. IEEE, (2021)Vibration Sensor Based Intelligent Fault Diagnosis System for Large Machine Unit in Petrochemical Industries., , , , and . IJDSN, (2015)Bearing Fault Diagnosis Method Based on Ensemble Composite Multi-Scale Dispersion Entropy and Density Peaks Clustering., , , and . IEEE Access, (2021)The build of a new non-dimensional indicator for fault diagnosis in rotating machinery., , , , and . Int. J. Wirel. Mob. Comput., 6 (3): 271-276 (2013)Work in progress: Multi-dimensionless parameters fusion method based on improved D-S evidence theory., , , , and . ChinaCom, page 617-620. IEEE, (2014)Concurrent Fault Diagnosis for Rotating Machinery Based on Vibration Sensors., , , , and . Int. J. Distributed Sens. Networks, (2013)Multi-Scale Cluster-Graph Convolution Network With Multi-Channel Residual Network for Intelligent Fault Diagnosis., , , , , , and . IEEE Trans. Instrum. Meas., (2022)Machinery Fault Diagnosis Scheme Using Redefined Dimensionless Indicators and mRMR Feature Selection., , , , and . IEEE Access, (2020)Fault Diagnosis Based on Multi-Scale Redefined Dimensionless Indicators and Density Peak Clustering With Geodesic Distances., , , , and . IEEE Access, (2020)Vibration sensor based intelligent fault diagnosis system for large machine unit in petrochemical industry., , , , and . IWCMC, page 1376-1381. IEEE, (2013)