Self-directed project
Predictive Maintenance: Industrial ML for Fault Detection
Condition-Monitoring Engineer · AI / ML · September 2026
A ProoV case study · educational project, not employment
Built an end-to-end rolling-bearing fault detector from vibration data: visualized the faulty waveform, engineered time- and frequency-domain features, trained a shallow decision tree on training bearings only, and evaluated it on held-out bearings with catch-rate and false-alarm metrics. The work also localized the fault to the outer race via BPFO and defended an alarm threshold with a maintenance-focused memo grounded in the candidate’s own results.
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 the provided envelope spectrum helper and correctly found BPFO as the dominant defect frequency, then mapped it to the outer race.
- Kept the classifier compact and interpretable, stating a depth-1 tree with 3 nodes and confirming training-only fitting.
- Reported held-out catch-rate and false-alarm rate rather than relying on training performance.
- Included a maintenance memo that connects the threshold choice to concrete operating numbers and a plain-language manager sentence.
- Leakage-Free Feature Engineering
- Honest Held-Out Evaluation
The work I submitted19 tasks
11 tasks · 6.3k characters · Python · 8 written answers · 405 words
- Initial Prediction50 characters
- Load Plot Signal CodePython · 1.9k characters
- Load Plot Signal205 characters
- Example Rms WorkedPython · 697 characters
- Time Features143 characters
- Freq FeaturesPython · 1.0k characters
- Fault Location239 characters
- Train Classifier363 characters
- Evaluation Heldout288 characters
- Threshold Decision332 characters
- Decision Memo1.1k characters
- Initial Prediction6 words
- Load Plot Signal Code163 words
- Load Plot Signal15 words
- Example Rms Worked72 words
- Time Features10 words
- Freq Features94 words
- Fault Location14 words
- Train Classifier31 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.