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Dynamic Semi-Supervised Federated Learning Fault Diagnosis Method Based on an Attention Mechanism
Published 2023-10-01“…In cases where there is an unlabeled client, compared to the existing semi-supervised federated learning methods, SSFL-ATT can achieve increments of 9.06% and 12.53% in fault diagnosis accuracy when datasets provided by Case Western Reserve University and Shanghai Maritime University, respectively, are used for verification.…”
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A Fault Tolerance Method for Multiple Current Sensor Offset Faults in Grid-Connected Inverters
Published 2023-01-01Get full text
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A Multiscale Recursive Attention Gate Federation Method for Multiple Working Conditions Fault Diagnosis
Published 2023-08-01Get full text
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Multi-Scale Recursive Semi-Supervised Deep Learning Fault Diagnosis Method with Attention Gate
Published 2023-01-01Get full text
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Fault diagnosis for multiple current sensors in grid‐connected inverter based on average modulation voltage
Published 2024-01-01Get full text
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Evolution Trend Research of Global Ocean Power Generation Based on a 45-Year Scientometric Analysis
Published 2021-02-01Get full text
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An Inequality Indicator for High-Resistance Connection Fault Diagnosis in Marine Current Turbine
Published 2023-01-01Get full text
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A Layering Linear Discriminant Analysis-Based Fault Diagnosis Method for Grid-Connected Inverter
Published 2022-07-01Get full text
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IRNLGD: An Edge Detection Algorithm with Comprehensive Gradient Directions for Tidal Stream Turbine
Published 2024-03-01Get full text
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Imbalance Fault Classification Based on VMD Denoising and S-LDA for Variable-Speed Marine Current Turbine
Published 2021-02-01Get full text
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A Serial Fault-Tolerant Topology Based on Sustainable Reconfiguration for Grid-Connected Inverter
Published 2023-03-01Get full text
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