PEM Defects & AI Detection – SLR Database
Year: 2026
Type: dataset
Abstract: 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.
Source: Mendeley Data
DOI: 10.17632/5ngpps5tgx
Authors: Yorgun, Idris, Steinrötter, Simon
Institution: Ruhr University Bochum
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7166706304