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On an evolutionary information system for personalized support to plant operators
Technological advances are gradually transforming industrial plants into cognitive cyber-physical systems. Such systems include heterogeneous assets which need to be adapted and supported throughout this transformation. However, operator support systems are still dependent on fixed guidance and pape...
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Published in: | Procedia CIRP 2019, Vol.81, p.547-551 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Technological advances are gradually transforming industrial plants into cognitive cyber-physical systems. Such systems include heterogeneous assets which need to be adapted and supported throughout this transformation. However, operator support systems are still dependent on fixed guidance and paper-based instructions describing a standard procedure.
This paper presents an evolutionary approach for evaluating operators’ feedback towards enriching and personalizing the instructions content on how to execute a certain activity. The feedback is provided through a web application and analyzed by artificial intelligence techniques. The proposed information support system has been applied on a case study about the maintenance of an industrial robot. |
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ISSN: | 2212-8271 2212-8271 |
DOI: | 10.1016/j.procir.2019.03.153 |