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research_group:start [2020/05/06 20:51] mpiekarski [Anomaly detection with the use of pre-trained CNN architectures] |
research_group:start [2020/05/06 21:02] mpiekarski [Anomaly detection with the use of pre-trained CNN architectures] |
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**Research goal:**\\ | **Research goal:**\\ | ||
To detect anomalies in multivariate diagnostic signals of the synchrotron control system by pre-trained CNN architectures. | To detect anomalies in multivariate diagnostic signals of the synchrotron control system by pre-trained CNN architectures. | ||
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+ | [[https://synchrotron.uj.edu.pl|SOLARIS]] National Synchrotron Radiation Centre is a research facility that provides high quality synchrotron light. To control such a complex system it is necessary to monitor signals from various devices and subsystems. Anomaly detection prevents from financial loss, unplanned downtimes and in extreme cases cause damage. As artificial intelligence techniques including machine learning and deep neural networks have become state-of-the-art solutions for anomaly detection tasks which are one of the most challenging in data analysis, our team conducts research on the use of them for anomaly detection in multivariate diagnostic signals. | ||
The research topics include: | The research topics include: |