Tag: CWRU Dataset
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CNN vs LSTM Bearing Fault Detection: 8x Training Speed Gap
CNNs train 8x faster than LSTMs on CWRU bearing data with identical 99.5% accuracy. See exact training times, memory usage, and when LSTMs still win.
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Transformer vs CNN-LSTM: CWRU Bearing 96% vs 92% Accuracy
Compare Transformer vs CNN-LSTM for bearing fault detection on CWRU dataset. Discover which architecture achieves 96% accuracy and why it wins.
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Transfer Learning CWRU to Custom Bearings: 89% to 67% Drop Fix
Transfer learning CWRU bearings to custom hardware hits 67% accuracy? Learn the domain gap fix with synthetic data and fine-tuning strategies.
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FFT vs CWT vs Wavelet Packet: CWRU Bearing Speed Test
Compare FFT, CWT, and Wavelet Packet on CWRU bearing data across speeds. Discover which method wins for fault detection under varying RPMs.
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1D-CNN Bearing Fault Classifier: CWRU 3-Sensor Pipeline
Build a 1D-CNN bearing fault classifier using CWRU dataset's 3-sensor vibration data. Complete PyTorch pipeline with preprocessing and evaluation.
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SimCLR for Bearing Fault Classification with Few Labels
SimCLR pretraining hits 89.3% accuracy with only 5 labeled bearing fault samples. Step-by-step contrastive learning on CWRU dataset.