Vishnuprakash Jagan Mohan completed Predictive Maintenance: Industrial ML for Fault Detection
What Vishnuprakash demonstrated
Built a working rolling-bearing fault detector end to end: extracted physics-based vibration features, identified the fault location from the dominant BPFO envelope peak, trained a shallow decision tree within an embedded budget, and evaluated it on a held-out bearing set with catch-rate and false-alarm metrics. The candidate also justified a 0.40 alarm threshold with concrete maintenance-cost tradeoffs in a clear decision memo.
- Leakage-Free Feature Engineering
- Honest Model Evaluation
- Physics-Based Fault Localization
- Cost-Based Decision Making
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