S. Tamminen, X. Liu, H. Tiensuu, E. Ferreira, E. Puukko and J. Röning, "AI Enhanced Alarm Presentation for Quality Monitoring," 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Halifax, NS, Canada, 2018, pp. 834-839. doi: 10.1109/Cybermatics_2018.2018.00162
AI enhanced alarm presentation for quality monitoring
|Author:||Tamminen, Satu1; Liu, Xiaoli1; Tiensuu, Henna1;|
1Biomimetics and Intelligent Systems Group, University of Oulu, Oulu, Finland
2Outokumpu Stainless Oy, Tornio, Finland
|Online Access:||PDF Full Text (PDF, 0.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202003238866
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2020-03-23
This 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.
|Pages:||834 - 839|
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
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
222 Other engineering and technologies
214 Mechanical engineering
112 Statistics and probability
The Quality Monitoring Tool was developed in a co- operation with VTT Technical Research Centre of Finland, Ltd.
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