A deep residual neural network model for synchronous motor fault diagnostics

Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

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Condition Monitoring, Engineering, Measurement +6

Overview of Multi-MW Wind Turbines and Wind Parks

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Electrical Engineering, Engineering, Wind Power Generation +13

Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network

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Fault Diagnosis, Engineering, Machine Learning +18

Static-, Dynamic-, and Mixed-Eccentricity Fault Diagnoses in Permanent-Magnet Synchronous Motors

Bashir Mahdi Ebrahimi, Jawad Faiz · IEEE Transactions on Industrial Electronics · 2009 · 374 citations

Fault Diagnosis, Condition Monitoring, Eccentricity Fault +9

A new bearing fault diagnosis method based on modified convolutional neural networks

Jiangquan Zhang, Yi Sun, Liang Guo et al. · Chinese Journal of Aeronautics · 2019 · 316 citations · Full text