Zain Ul Abideen completed Predictive Maintenance: Industrial ML for Fault Detection

Built an end-to-end rolling-bearing fault detector using vibration features, a compact decision tree, and a held-out evaluation. The work includes leakage-aware training on the training bearings only, a cost-based alarm threshold decision, and a maintenance memo that explains the outer-race fault call in plain language using the model’s own numbers.

• Leakage-Free Feature Engineering
• Honest Held-Out Evaluation
• Cost-Based Operational Decision-Making
• Interpreting Physical Fault Signatures