@article{KAUPP2021492,

title = {CONTEXT: An Industry 4.0 Dataset of Contextual Faults in a Smart Factory},

author = {Lukas Kaupp and Heiko Webert and Kawa Nazemi and Bernhard Humm and Stephan Simons},

url = {https://www.sciencedirect.com/science/article/pii/S1877050921003148},

doi = {https://doi.org/10.1016/j.procs.2021.01.265},

issn = {1877-0509},

year  = {2021},

date = {2021-01-01},

journal = {Procedia Computer Science},

volume = {180},

pages = {492-501},

abstract = {Cyber-physical systems in smart factories get more and more integrated and interconnected. Industry 4.0 accelerates this trend even further. Through the broad interconnectivity a new class of faults arise, the contextual faults, where contextual knowledge is needed to find the underlying reason. Fully-automated systems and the production line in a smart factory form a complex environment making the fault diagnosis non-trivial. Along with a dataset, we give a first definition of contextual faults in the smart factory and name initial use cases. Additionally, the dataset encompasses all the data recorded in a current state-of-the-art smart factory. We also add additional information measured by our developed sensing units to enrich the smart factory data even further. In the end, we show a first approach to detect the contextual faults in a manual preliminary analysis of the recorded log data.},

note = {Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020)},

keywords = {anomaly detection, contextual faults, cyber-physical systems, fault diagnosis, smart factory},

pubstate = {published},

tppubtype = {article}

}