Component-wide and plant-wide monitoring by neural networks for Borssele nuclear power plant

Emine Ayaz*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

This paper presents a comparison of component-wide and plant-wide monitoring studies based upon neural networks for anomaly detection in Borssele nuclear power plant. The Borssele nuclear power plant is a unique nuclear facility to produce the electricity through the nuclear energy in the Netherlands. This power plant was established as a Siemens-KWU design and started to operate in the commercial sense in 1973. However, it was modified under the backfitting programme in 1997. After the backfitting programme, its safety level was raised to the current state of the art. This paper covers the component-wide and plant-wide monitoring studies using the neural network approach for this modified case of the power plant.

Original languageEnglish
Pages (from-to)3721-3728
Number of pages8
JournalEnergy Conversion and Management
Volume49
Issue number12
DOIs
Publication statusPublished - Dec 2008

Keywords

  • Borssele nuclear power plant (pressurized water reactor)
  • Condition monitoring
  • Neural networks

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