Tag: Bearing Fault Detection
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FFT vs Wavelet Transform: Which to Learn First for PHM
Compare FFT vs Wavelet Transform for predictive maintenance. Learn which signal processing method works best for machinery fault detection.
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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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Predictive Maintenance Python Tutorial: FFT Pipeline
Build a Python FFT pipeline for predictive maintenance with NumPy and SciPy. Detect bearing faults from vibration signals using spectral analysis.
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FFT vs Welch vs STFT: 10Hz Bearing Speed Benchmark
Compare FFT, Welch, and STFT methods for 10Hz bearing vibration analysis. Discover which technique reveals hidden fault signatures most reliably.
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Spectral Kurtosis for Bearing Faults: Outperforming FFT
Spectral kurtosis caught bearing failure 3 weeks before FFT showed symptoms. When it works, when it fails, and what runs in production.
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Envelope Analysis vs FFT for Bearing Fault Detection
Envelope analysis caught inner race faults FFT missed โ then nearly failed on outer race. Why band selection breaks or saves your diagnosis.