Application of process monitoring to anomaly detection in nuclear material processing systems via system-centric event interpretation of data from multiple sensors of varying reliability

作者：Garcia Humberto E^*; Simpson Michael F; Lin Wen Chiao; Carlson Reed B; Yoo Tae Sic

来源：Annals of Nuclear Energy, 2017, 103: 60-73.

DOI：10.1016/j.anucene.2017.01.006

• Advanced safeguards
• Process monitoring
• System-centric anomaly detection
• Integrated time- and event-driven analysis
• Nuclear fuel cycles

In this paper, we apply an advanced safeguards approach and associated methods for process monitoring to a hypothetical nuclear material processing system. The assessment 'regarding the state of the processing facility is conducted at a system-centric level formulated in a hybrid framework. This utilizes architecture for integrating both time- and event-driven data and analysis for decision making. While the time-driven layers of the proposed architecture encompass more traditional process monitoring methods based on time series data and analysis, the event-driven layers encompass operation monitoring methods based on discrete event data and analysis. By integrating process- and operation-related information and methodologies within a unified framework, the task of anomaly detection is greatly improved. This is because decision-making can benefit from not only known time-series relationships among measured signals but also from known event sequence relationships among generated events. This available knowledge at both time series and discrete event layers can then be effectively used to synthesize observation solutions that optimally balance sensor and data processing requirements. The application of the proposed approach is then implemented on an illustrative monitored system based on pyroprocessing and results are discussed. Published by Elsevier Ltd.

• 出版日期2017-5