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What Priyanka demonstrated

Built an end-to-end rolling-bearing fault detector using vibration snapshots, physics-based features, and a compact decision tree trained only on the training bearings. Evaluated it on held-out healthy and faulty bearings, identified the outer-race fault from the dominant BPFO energy, and justified an alarm threshold with concrete catch-rate, false-alarm, and cost numbers in a maintenance memo.

  • Leakage-Free Feature Engineering
  • Honest Held-Out Evaluation
  • Physics-Based Fault Localization
  • Cost-Based Thresholding

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