Data-Driven Reliability Modeling of Smart Manufacturing Systems Using Process Mining
Author:
Affiliation:
1. Maersk Mc-Kinney Moller Institute University of Southern Denmark,Odense,DENMARK,5230
2. Inst. of Appl. Informatics and Formal Descr. Methods Karlsruhe Institute of Technology,Karlsruhe,GERMANY,76133
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10015196/10015230/10015301.pdf?arnumber=10015301
Reference25 articles.
1. Towards Data-Driven Reliability Modeling for Cyber-Physical Production Systems
2. Process Mining for Dynamic Modeling of Smart Manufacturing Systems: Data Requirements
3. Reliability Assessment in the Context of Industry 4.0: Data as a Game Changer
4. Data-Driven Fault Tree Modeling for Reliability Assessment of Cyber-Physical Systems
5. Discovering Block-Structured Process Models from Event Logs - A Constructive Approach
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