KoMMDia: Dialogue-Driven Assistance System for Fault Diagnosis and Correction in Cyber-Physical Production Systems
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
In complex production systems, the diagnosis and correction of faults requires operators to possess a deep understanding of the specific processes and machines as well as general knowledge about the interactions between different system components. However, in actual work environments operator qualification and experience is quite diverse, which leads to an immense variability in the time required for fault diagnosis and in the quality of corrective actions. Both time and quality of fault diagnosis and correction are vital parameters in the functioning of a plant, because downtimes have severe economic consequences and thus should be kept to a minimum. With the introduction of highly complex and flexible cyber-physical production systems, these problems are aggravated as fault sources vary and diagnosis becomes even more challenging. The paper presents a concept for a self-learning assistance system that supports operators in finding and evaluating solution strategies for complex faults. This concept applies a question-answer approach which allows for an incremental, dialogue-based establishment of common ground between operators and the assistance system.
Details
Original language | English |
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Title of host publication | Proceedings - 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation, ETFA 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 999-1006 |
Number of pages | 8 |
ISBN (electronic) | 9781538671085 |
Publication status | Published - 22 Oct 2018 |
Peer-reviewed | Yes |
Publication series
Series | IEEE International Conference on Emerging Technologies and Factory Automation, ETFA |
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Volume | 2018-September |
ISSN | 1946-0740 |
Conference
Title | 23rd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2018 |
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Duration | 4 - 7 September 2018 |
City | Torino |
Country | Italy |
External IDs
ORCID | /0000-0001-5165-4459/work/174432567 |
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