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What Taimoor demonstrated
Built a working rolling-bearing fault detector end to end: engineered RMS, kurtosis, crest factor, and envelope-spectrum defect-band features; localized the fault to the outer race via BPFO; trained a compact depth-capped decision tree on training bearings only; and evaluated it on held-out bearings with reported catch-rate and false-alarm rate. The final memo justified the alarm threshold using the student’s own cost numbers and translated the diagnosis into maintenance language.
- Leakage-Free Feature Engineering
- Honest Held-Out Evaluation
- Physics-Based Fault Localization
- Cost-Based Thresholding
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