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What Anurag demonstrated

Built a compact rolling-bearing fault detector end to end: engineered time-domain features that separated healthy from impulsive faulty vibration, trained a depth-capped decision tree on training bearings only, and evaluated it on held-out bearings with explicit catch-rate and false-alarm metrics. The final maintenance memo justified a 0.42 alarm threshold using the candidate’s own cost numbers and correctly localized the fault to the outer race via BPFO.

  • Leakage-Free Feature Engineering
  • Honest Held-Out Evaluation
  • Cost-Based Operational Decision Making

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