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 using vibration data: engineered RMS, kurtosis, crest factor, and envelope-spectrum defect-band energy; trained a depth-capped decision tree on training bearings only; and evaluated it on held-out healthy/faulty bearings with catch-rate and false-alarm metrics. The final memo defended a cost-based alarm threshold and correctly localized the fault to the outer race from BPFO.
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 in narrow bands around all four supplied defect frequencies and correctly identified BPFO as dominant
- Used kurtosis as the root split in a depth-1 decision tree, matching the impulsive nature of bearing faults
- Justified the alarm threshold with explicit miss-vs-false-alarm costs and concrete held-out performance numbers
- Explained the maintenance tradeoff in plain language with a real cost ratio from the student's own results
- Leakage-Free Feature Engineering
- Honest Held-Out Evaluation
Meine eingereichte Arbeit19 Aufgaben
11 Aufgaben · 7.3k Zeichen · Python · 8 Textantworten · 431 Wörter
- Initial Prediction62 Zeichen
- 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 Memo2.0k Zeichen
- Initial Prediction9 Wörter
- Load Plot Signal Code163 Wörter
- Load Plot Signal15 Wörter
- Example Rms Worked72 Wörter
- Time Features10 Wörter
- Freq Features117 Wörter
- Fault Location14 Wörter
- Train Classifier31 Wörter
Bewusst zusammengefasst — der eingereichte Code und die Texte bleiben privat, damit diese Seite nicht als Lösungsvorlage dient. Die vollständige Einreichung steht hinter dem verifizierten Zertifikat.