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Authors: Harry Beyel 1 ; Omar Makke 2 ; Fangbo Yuan 2 ; Oleg Gusikhin 2 and Wil van der Aalst 1

Affiliations: 1 Chair of Process and Data Science, RWTH Aachen University, Aachen, Germany ; 2 Global Data Insight & Analytics, Ford, Dearborn, U.S.A.

Keyword(s): Connected Car, Continuous Data, Sensor Data, Process Mining, Conformance Checking, Case Study.

Abstract: Cyber-physical systems connected to the internet are generating unprecedented volumes of data. Understanding cyber-physical systems’ behavior using collected data is becoming increasingly important. Process-mining techniques consider sequences of events and thus can be used to check and verify how such cyber-physical systems operate. The data captured by cyber-physical systems are typically noisy and are not readily suitable for process mining. In this work, we present how a stream of connected-vehicle data can be transformed into an event log suitable for process mining. By applying different process-discovery techniques, we discover de-facto models that capture the behavior of an assistance system embedded in cars. We apply conformance-checking techniques and consult domain experts to find the best de-facto model. In addition, we apply conformance-checking methods to a preexisting, de-jure model that we transformed into a Petri net. We compare both models and point out differences. In this process, we show how we overcome challenges and highlight why applying process-mining techniques in the cyber-physical systems domain is valuable. (More)

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Paper citation in several formats:
Beyel, H.; Makke, O.; Yuan, F.; Gusikhin, O. and van der Aalst, W. (2023). Analyzing Cyber-Physical Systems in Cars: A Case Study. In Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-664-4; ISSN 2184-285X, SciTePress, pages 195-204. DOI: 10.5220/0012136000003541

@conference{data23,
author={Harry Beyel. and Omar Makke. and Fangbo Yuan. and Oleg Gusikhin. and Wil {van der Aalst}.},
title={Analyzing Cyber-Physical Systems in Cars: A Case Study},
booktitle={Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA},
year={2023},
pages={195-204},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012136000003541},
isbn={978-989-758-664-4},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA
TI - Analyzing Cyber-Physical Systems in Cars: A Case Study
SN - 978-989-758-664-4
IS - 2184-285X
AU - Beyel, H.
AU - Makke, O.
AU - Yuan, F.
AU - Gusikhin, O.
AU - van der Aalst, W.
PY - 2023
SP - 195
EP - 204
DO - 10.5220/0012136000003541
PB - SciTePress