Engineers Clinic
IntermediateEngineering trackDE-CP-21

Praxissemester Portfolio: Predictive Maintenance for a Mittelstand Press Line

Internship role: Werkstudent:in Data Engineering. Ingest press-line sensor data over OPC UA, detect anomalies and estimate remaining useful life for the main bearing; measured by warning lead time against logged failures.

10 Guided Steps480h Internship TierSubmit: GitHub repo or evidence pack + live demo / report + README + milestone logbookVerified CertificateAI Rubric Graded
Program Overview

Internship role: Werkstudent:in Data Engineering. Ingest press-line sensor data over OPC UA, detect anomalies and estimate remaining useful life for the main bearing; measured by warning lead time against logged failures.

What you submit

GitHub repo or evidence pack + live demo / report + README + milestone logbook

Stack: Python, OPC UA, TimescaleDB, Grafana, scikit-learn

How it is graded

Signals: Milestone gates met; measurable result reported; documentation; deployment or evidence reachable; reflective log

  • Functionality & requirements30
  • Technical quality & architecture25
  • Documentation15
  • Deployment & evidence15
  • Innovation10
  • Presentation5

Pass 60% · Merit 75% · Distinction 90%

Learning Outcomes
480-hour Germany programme. Mittelstand manufacturers run Praxissemester placements around exactly this problem; OPC UA and Industrie 4.0 reference architecture are the expected vocabulary.
Target Audience

Engineering Students

Diploma, B.Tech, B.E., BCA, MCA, or M.Tech students seeking practical experience.

Aspiring Developers

Developers who want to build proof-of-work capstone projects for tech resumes.

Job Seekers

Graduates looking for AI-evaluated code review & verified industry credentials.