PEM Defects & AI Detection – SLR Database
Published: 30 June 2026| Version 1 | DOI: 10.17632/5ngpps5tgx.1
Contributors:
Idris Yorgun, Description
This dataset provides the supplementary database for the systematic literature review on defects and AI-based detection methods for PEM components. It includes the detailed search strategy, applied keywords, identified literature, screening results, and extracted analysis data. The dataset is provided as an Excel file to support transparency, reproducibility, and traceability of the review process while keeping the related paper concise.
Files
Institutions
- Ruhr University BochumNorth Rhine-Westphalia, Bochum
Categories
Artificial Intelligence, Object Detection, Material Defect, Hydrogen