Arham Jain

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Arham Jain

Electronics and Computer Engineering · Thapar Institute of Engineering and Technology

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Projects

Certified

Self-directed project

Predictive Maintenance: Industrial ML for Fault Detection

Condition-Monitoring Engineer · AI / ML · July 2026

84/ 100

A ProoV case study · educational project, not employment

Built a compact rolling-bearing fault detector end to end: engineered time-domain features, used envelope-spectrum energy at supplied defect frequencies to localize the fault, trained a shallow decision tree on training bearings only, and evaluated it on a held-out set with catch-rate and false-alarm metrics. The candidate also defended a 0.40 alarm threshold with explicit cost reasoning and translated the result into a clear maintenance recommendation.

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
  • Trained a depth-capped decision tree on training bearings only and stated a small tree size (depth 1, 3 nodes) against the embedded budget.
  • Reported held-out catch-rate and false-alarm rate rather than evaluating on training data.
  • Wrote a maintenance memo that ties the threshold choice to concrete costs and explicitly identifies the outer race via BPFO dominance.
  • Leakage-Free Model Training
  • Honest Held-Out Evaluation
  • Physics-Informed Fault Interpretation
The work I submitted18 tasks

10 tasks · 6.1k characters · Python · 8 written answers · 445 words

  • Initial Prediction62 characters
  • Load Plot Signal CodePython · 1.9k characters
  • Load Plot Signal205 characters
  • Example Rms WorkedPython · 697 characters
  • Time Features143 characters
  • Freq FeaturesPython · 1.2k characters
  • Train Classifier363 characters
  • Evaluation Heldout288 characters
  • Threshold Decision334 characters
  • Decision Memo1.0k characters
  • Initial Prediction9 words
  • Load Plot Signal Code163 words
  • Load Plot Signal15 words
  • Example Rms Worked72 words
  • Time Features10 words
  • Freq Features121 words
  • Train Classifier31 words
  • Evaluation Heldout24 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.

Verified certificateTamper-proof · issued by ProoV
1Project completed
1Verified certificate
84Average score
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