AI enhanced alarm presentation for quality monitoring

Tamminen, Satu; Liu, Xiaoli; Tiensuu, Henna; Ferreira, Eija; Puukko, Esa; Röning, Juha (2019-06-03)
 
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https://doi.org/10.1109/Cybermatics_2018.2018.00162

Tamminen, Satu
Liu, Xiaoli
Tiensuu, Henna
Ferreira, Eija
Puukko, Esa
Röning, Juha
Institute of Electrical and Electronics Engineers
03.06.2019

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

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doi:https://doi.org/10.1109/Cybermatics_2018.2018.00162
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https://urn.fi/URN:NBN:fi-fe202003238866
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Abstract

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.

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