Self-directed project
Predictive Maintenance: Industrial ML for Fault Detection
Condition-Monitoring Engineer · AI / ML · August 2026
A ProoV case study · educational project, not employment
Built an end-to-end rolling-bearing fault detector on vibration data: plotted and interpreted a faulty snapshot, used kurtosis to capture impulsive behavior, trained a shallow decision tree on training bearings only, and evaluated it on held-out healthy and faulty bearings. The final memo defended a 0.60 alarm threshold with catch-rate, false-alarm, and cost figures, and identified the outer race as the likely fault location.
Graded against
- Feature engineering (signal to honest numbers)25%
- Held-out evaluation (honest measurement)25%
- Cost-based threshold decision + memo25%
- Compact model + embedded-budget justification15%
- Plain-language explanation10%
Passed · pass mark 60/100
What stood out6
- Used a depth-capped decision tree and explicitly stated depth 2 and 7 nodes against an embedded budget
- Reported held-out catch-rate and false-alarm rate rather than evaluating on training data
- Wrote a maintenance memo that ties the threshold to cost trade-offs and explains the fault in plain language
- Leakage-Free Feature Engineering
- Honest Held-Out Evaluation
- Compact Interpretable Modeling
The work I submitted18 tasks
10 tasks · 6.1k characters · Python · 8 written answers · 407 words
- Initial Prediction62 characters
- Load Plot Signal CodePython · 1.9k characters
- Load Plot Signal205 characters
- Example Rms WorkedPython · 697 characters
- Time Features143 characters
- Freq FeaturesPython · 927 characters
- Train Classifier363 characters
- Evaluation Heldout288 characters
- Threshold Decision332 characters
- Decision Memo1.2k characters
- Initial Prediction9 words
- Load Plot Signal Code164 words
- Load Plot Signal15 words
- Example Rms Worked72 words
- Time Features10 words
- Freq Features82 words
- Train Classifier31 words
- Evaluation Heldout24 words
Summarised on purpose — the submitted code and writing stay private so this page cannot be reused as an answer key. The full submission sits behind the verified certificate.