Selbstgesteuertes Projekt
Predictive Maintenance: Industrial ML for Fault Detection
Condition-Monitoring Engineer · KI / ML · August 2026
Eine ProoV-Fallstudie · Lernprojekt, kein Arbeitsverhältnis
Built an end-to-end rolling-bearing fault detector from vibration data: visualized the faulty waveform, engineered RMS/kurtosis/crest-style signal features plus envelope-spectrum energy at the supplied defect frequencies, and localized the fault to the outer race via BPFO dominance. Trained a compact depth-capped decision tree on training bearings only, then evaluated it on held-out bearings with reported catch-rate and false-alarm rate and defended a cost-based alarm threshold using the candidate’s own numbers.
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 at all four supplied defect frequencies and correctly found BPFO as dominant.
- Used kurtosis as the strongest time-domain indicator for the impulsive faulty bearing.
- Reported a compact depth-1 decision tree with 3 nodes and stated it was trained on training bearings only.
- Included concrete held-out metrics and a cost-based threshold decision rather than optimizing for raw accuracy.
- Leakage-Free Feature Engineering
- Honest Held-Out Evaluation
Meine eingereichte Arbeit18 Aufgaben
10 Aufgaben · 6.0k Zeichen · Python · 8 Textantworten · 433 Wörter
- Load Plot Signal CodePython · 1.9k Zeichen
- Load Plot Signal205 Zeichen
- Example Rms WorkedPython · 697 Zeichen
- Time Features143 Zeichen
- Freq FeaturesPython · 1.1k Zeichen
- Fault Location239 Zeichen
- Train Classifier363 Zeichen
- Evaluation Heldout288 Zeichen
- Threshold Decision334 Zeichen
- Decision Memo769 Zeichen
- Load Plot Signal Code163 Wörter
- Load Plot Signal15 Wörter
- Example Rms Worked72 Wörter
- Time Features10 Wörter
- Freq Features104 Wörter
- Fault Location14 Wörter
- Train Classifier31 Wörter
- Evaluation Heldout24 Wörter
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