To increase the operator's awareness during abnormal plant states, a combined approach of the ADDA and the 3D process visualization is presented in this paper.
To reduce alarm floods an analytical approach, so called AADA (Automatic Alarm Data Analyzer), has been developed to learn these alarm floods by itself. Finally ...
To reduce alarm floods an analytical approach, so called AADA (Automatic Alarm Data Analyzer), has been developed to learn these alarm floods by itself. Finally ...
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These studies have demonstrated that better alarm configuration and effective use of suppression techniques can make a considerable impact on reducing the ...
Towards alarm flood reduction | 2017 22nd IEEE International ...
dl.acm.org › abs › ETFA.2017.8247625
This paper proposes a method to reduce the alarm flood by detecting redundant alarms so that they can be filtered later before being transmitted to operators.
An analytical alarm flood reduction to reduce operator's workload. J Folmer, D Pantförder, B Vogel-Heuser. Human-Computer Interaction. Users and Applications ...
An analytic alarm flood reduction to reduce operator's workload. View more ... alarm floods in the historical database for the prediction and prevention of alarm ...
An algorithm for the automatic alarm data analyzer (AADA) is able to find possible and significant reasons for alarm floods by identifying the most frequent ...
Apr 8, 2024 · Knowing the root-cause alarm and dependencies between alarms, unnecessary ones can be filtered to reduce the operator's workload [5, 9, 10].
In this paper, a modified Smith–Waterman algorithm is proposed to obtain a similarity index of alarm flood sequences and cluster similar floods.