Selbstgesteuertes Projekt
Predictive Maintenance: Industrial ML for Fault Detection
Condition-Monitoring Engineer · KI / ML · September 2026
Eine ProoV-Fallstudie · Lernprojekt, kein Arbeitsverhältnis
Built an end-to-end rolling-bearing fault detector using vibration snapshots, physics-based features, and a compact decision tree trained only on the training bearings. Evaluated it on held-out healthy and faulty bearings, identified the outer-race fault from the dominant BPFO energy, and justified an alarm threshold with concrete catch-rate, false-alarm, and cost numbers in a maintenance memo.
Bewertet nach
- 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%
Bestanden · Bestehensgrenze 60/100
Was herausstach6
- Computed envelope-spectrum energy around the supplied defect frequencies and correctly found BPFO as dominant
- Chose kurtosis as the strongest time-domain indicator for the impulsive fault
- Reported a shallow decision tree with stated depth and node count, aligned to an embedded budget
- Defended the alarm threshold with explicit catch-rate, false-alarm rate, and cost figures
- Leakage-Free Feature Engineering
- Honest Held-Out Evaluation
Meine eingereichte Arbeit20 Aufgaben
12 Aufgaben · 6.9k Zeichen · Python · 8 Textantworten · 425 Wörter
- Initial Prediction50 Zeichen
- Load Plot Signal CodePython · 1.9k Zeichen
- Example Load Plot HealthyPython · 952 Zeichen
- Load Plot Signal205 Zeichen
- Example Rms WorkedPython · 697 Zeichen
- Time Features143 Zeichen
- Freq FeaturesPython · 715 Zeichen
- Fault Location239 Zeichen
- Train Classifier363 Zeichen
- Evaluation Heldout288 Zeichen
- Threshold Decision333 Zeichen
- Decision Memo1.0k Zeichen
- Initial Prediction6 Wörter
- Load Plot Signal Code163 Wörter
- Example Load Plot Healthy90 Wörter
- Load Plot Signal15 Wörter
- Example Rms Worked72 Wörter
- Time Features10 Wörter
- Freq Features55 Wörter
- Fault Location14 Wörter
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