Selbstgesteuertes Projekt
Predictive Maintenance: Industrial ML for Fault Detection
Condition-Monitoring Engineer · KI / ML · August 2026
Eine ProoV-Fallstudie · Lernprojekt, kein Arbeitsverhältnis
Built a working rolling-bearing fault detector end to end: engineered RMS, kurtosis, crest factor, and envelope-spectrum defect-band features; localized the fault to the outer race via BPFO; trained a compact depth-capped decision tree on training bearings only; and evaluated it on held-out bearings with reported catch-rate and false-alarm rate. The final memo justified the alarm threshold using the student’s own cost numbers and translated the diagnosis into maintenance language.
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 the requested time-domain features and correctly selected kurtosis as the most fault-sensitive signal
- Used envelope-spectrum energy at the supplied defect frequencies and correctly localized the fault to BPFO / outer race
- Trained a depth-1 decision tree on training bearings only and stated depth and node count against the embedded budget
- Defended the alarm threshold with concrete catch-rate, false-alarm, and cost figures in a maintenance memo
- Leakage-Free Feature Engineering
- Honest Held-Out Evaluation
Meine eingereichte Arbeit19 Aufgaben
11 Aufgaben · 7.7k Zeichen · Python · 8 Textantworten · 468 Wörter
- Initial Prediction62 Zeichen
- Load Plot Signal CodePython · 1.8k Zeichen
- Load Plot Signal205 Zeichen
- Example Rms WorkedPython · 697 Zeichen
- Time Features143 Zeichen
- Freq FeaturesPython · 1.9k Zeichen
- Fault Location239 Zeichen
- Train Classifier363 Zeichen
- Evaluation Heldout288 Zeichen
- Threshold Decision335 Zeichen
- Decision Memo1.6k Zeichen
- Initial Prediction9 Wörter
- Load Plot Signal Code163 Wörter
- Load Plot Signal15 Wörter
- Example Rms Worked72 Wörter
- Time Features10 Wörter
- Freq Features154 Wörter
- Fault Location14 Wörter
- Train Classifier31 Wörter
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