Tag: Fault Diagnosis
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CWRU Bearing Dataset: End-to-End PHM Portfolio Project
Build a complete PHM pipeline with CWRU bearing data: fault detection, feature engineering, and RUL prediction from raw vibration signals.
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Self-Supervised Contrastive Learning for Fault Diagnosis
SimCLR contrastive pretraining boosted fault diagnosis from 73% to 89% using 8,000 unlabeled vibration signals. Here's the exact PHM workflow.