Aishwarya Jain Yelaneeru completed Predictive Maintenance: Industrial ML for Fault Detection

Built a working rolling-bearing fault detector end to end: visualized the vibration snapshot, engineered time-domain and envelope-spectrum features, trained a compact depth-capped decision tree on training bearings only, and evaluated it on held-out bearings with reported catch and false-alarm rates. The final 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
• Physics-Based Fault Localization
• Cost-Based Operational Decision-Making