On the Diagnosis of Cyber-Physical Production Systems
Abstract
Cyber-Physical Production Systems (CPPSs) are in the focus of research, industry and politics: By applying new IT and new computer science solutions, production systems will become more adaptable, more resource ef- ficient and more user friendly. The analysis and diagnosis of such systems is a major part of this trend: Plants should detect automatically wear, faults and suboptimal configurations. This paper reflects the current state-of- the-art in diagnosis against the requirements of CPPSs, identifies three main gaps and gives application scenarios to outline first ideas for potential solutions to close these gaps.
Cite
Text
Niggemann and Lohweg. "On the Diagnosis of Cyber-Physical Production Systems." AAAI Conference on Artificial Intelligence, 2015. doi:10.1609/AAAI.V29I1.9762Markdown
[Niggemann and Lohweg. "On the Diagnosis of Cyber-Physical Production Systems." AAAI Conference on Artificial Intelligence, 2015.](https://mlanthology.org/aaai/2015/niggemann2015aaai-diagnosis/) doi:10.1609/AAAI.V29I1.9762BibTeX
@inproceedings{niggemann2015aaai-diagnosis,
title = {{On the Diagnosis of Cyber-Physical Production Systems}},
author = {Niggemann, Oliver and Lohweg, Volker},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2015},
pages = {4119-4126},
doi = {10.1609/AAAI.V29I1.9762},
url = {https://mlanthology.org/aaai/2015/niggemann2015aaai-diagnosis/}
}