Category: CBM/PHM
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Threshold Alarms vs ML: 4-Week Python CBM Migration
Compare threshold vs ML-based condition monitoring in Python. 4-week migration guide with FFT, LSTM anomaly detection, and live industrial examples.
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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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Rule-Based to ML PHM Migration: 4-Week Python Roadmap
Cut false alarms by 60% and get 2-week failure warnings. Step-by-step migration from threshold rules to ML models with real Python code.
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LSTM Encoder-Decoder vs Seq2Seq Transformer: CMAPSS RUL Benchmark
LSTM Encoder-Decoder vs Seq2Seq Transformer on NASA CMAPSS: 18% RMSE improvement on FD004 but LSTM wins on simple data. Full PyTorch benchmark inside.
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GNN for Multi-Component RUL: Graph Attention Beats Fixed Topology
Learn how Graph Attention Networks predict multi-component system failures better than fixed-topology GNNs. Attention mechanism key to RUL accuracy.
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FFT Shows No Peaks: 4 Sensor Setup Mistakes That Kill Spectra
Diagnose why your FFT shows no peaks with these 4 critical sensor setup mistakes. Learn proper sampling rates, gain settings, and mounting techniques.
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CBM Migration Guide: Scheduled to Condition-Based
CBM migration forces you to rethink alerting, data pipelines, and ops workflows โ not just swap sensors. Here's what actually breaks and how to fix it.
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FFT Analysis for Bearing Fault Detection: 2048-Point Setup
Master FFT-based bearing fault diagnosis: 2048-point setup, frequency bin analysis, and practical vibration signal processing for predictive maintenance