May 25, 2019   10:08 a.m. Urban
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Early detection and identification of anomalies in NPP water chemistry based on state-of-the-art components of artificial intelligence

Supervisor: Dr.h.c. prof. Dr. Ing. Oliver Moravčík


Basic information   Workers      


This page shows details on the project. The primary projects are displayed together with a list of sub-projects.

Project description:Project is oriented on development of new approaches in nuclear power plant (NPP) chemical regime based on artificial intelligence (AI), mainly artificial neural networks (ANN) and fuzzy rules (FR). Reliability of many systems in NPP depends on water chemistry not only in anomalous situations, but also during normal operation, when some undesirable effects like corrosion, erosion or deposition of corrosion products and other insoluble substances can occur.
Kind of project:APVV - Všeobecná výzva ()
Department:Advanced Technologies Research Institute (MTF)
Project identification:APVV-14-0117
Project status:Not approved
Project start date :01. 07. 2015
Project close date:30. 06. 2019
Number of workers in the project:8
Number of official workers in the project:8

Official project workers

The following table shows the researcher workers who have been assigned official roles in a project.

OfficerOfficial roles
prof. Ing. Pavol Tanuška, PhD.spoluriešiteľ
Dr.h.c. prof. Dr. Ing. Oliver Moravčíkzodpovedný riešiteľ
Mária Rešetková, MBAadministratíva
Ing. Dominika Janíková, PhD.spoluriešiteľ
Ing. Martin Némethspoluriešiteľ
Ing. Andrea Némethová, PhD.spoluriešiteľ
doc. Ing. Maximilián Strémy, PhD.spoluriešiteľ
Ing. Tomáš Škulavík, PhD.spoluriešiteľ