AI enhanced alarm presentation for quality monitoring |
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Author: | Tamminen, Satu1; Liu, Xiaoli1; Tiensuu, Henna1; |
Organizations: |
1Biomimetics and Intelligent Systems Group, University of Oulu, Oulu, Finland 2Outokumpu Stainless Oy, Tornio, Finland |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.3 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe202003238866 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2018
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Publish Date: | 2020-03-23 |
Description: |
AbstractThis paper presents an AI based method for improving poorly performing quality prediction models. The method improves automatically the usability of the low quality alarm predictions in the web based quality monitoring tool that provides decision support for users. The tool enables the utilization of the models that suffer from the lack of information because of a long time gap to the predicted future. The reliability of the presented alarms in a monitoring tool will be improved by reducing the amount of false alarms. see all
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ISBN: | 978-1-5386-7975-3 |
ISBN Print: | 978-1-5386-7976-0 |
Pages: | 834 - 839 |
DOI: | 10.1109/Cybermatics_2018.2018.00162 |
OADOI: | https://oadoi.org/10.1109/Cybermatics_2018.2018.00162 |
Host publication: |
Proceedings IEEE 2018 International Congress on Cybermatics 2018 IEEE Conferences on Internet of Things, Gree n Computing and Communications, Cyber, Physical an d Social Computing, Smart Data, Blockchain, Computer and Information Technology |
Conference: |
IEEE Cybermatics |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
222 Other engineering and technologies 214 Mechanical engineering 112 Statistics and probability |
Subjects: | |
Funding: |
The Quality Monitoring Tool was developed in a co- operation with VTT Technical Research Centre of Finland, Ltd. |
Copyright information: |
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