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S. Kiss, S. Lipcsei and J. Végh, “Overview of Recent KFKI AEKI Activities in the Field of Plant Surveillance and Diagnostics, Power Plant Surveillance and Diagnostics: Applied Research with Artificial Intelligence,” Springer-Verlag, Berlin, Heidelberg, pp. 51-62

has been cited by the following article:

• TITLE: Possibility of Use of Noise Analysis for Identification of Reactor Conditions during Accidents

  AUTHORS: Tamas Janos Katona Katona

  KEYWORDS: Accident Management; Nuclear Power Plant; Post-Event Condition; Noise Diagnostics;Pressure Fluctuations

  JOURNAL NAME: World Journal of Nuclear Science and Technology, Vol.3 No.3, July 11, 2013

  ABSTRACT: Knowledge and control of the thermo-hydraulic conditions in the reactor is required for the effective accident management. Dedicated and qualified for harsh environment instrumentation has to be in place for this purpose. Experience of the Fukushima Dai-ichi plant and the lessons learned from the European stress tests demonstrated that alternative and divers tools and methods are needed for the identification of reactor condition in extreme situations. In the paper the feasibility of development of an alternative accident monitoring via well-known noise diagnostics methods is proposed and demonstrated. The possibility of identification of reactor accident conditions using temperature and pressure fluctuations, noise of the neutron and gamma field is considered on the basis of research achievements in reactor noise. As an example the use of pressure fluctuations for accident monitoring is presented.