Objective

Development of a modularly scalable maintenance process for photovoltaic (PV) systems, focusing on standardized on-site inspections, structured evaluation of measurement data, and AI-supported thermographic analysis of PV modules.

Scope of Work:

1. Literature review on existing standards, operation and maintenance guidelines, and testing methods (e.g., DIN EN 62446, VDE-AR-N 4105)
2. Definition of standardized on-site checks (including drone-based thermographic imaging, string voltage measurements, insulation testing, visual inspection)
3. Development of an AI-based algorithm for automated analysis of thermographic image data, including classification of typical fault patterns (hotspots, cell defects) and/or regression models
4. Automated generation of inspection reports
5. Preparation of checklists, measurement protocols, and training materials for service technicians

Your Profile

• Motivation and interest in the topic
• Background in machine learning
• Experience in python programming

Contact:

Franz Pernkopf (pernkopf@tugraz.at)