Vibration monitoring of a control rod at the research reactor

Neural networks for monitoring of high temperature gas cooled reactor from simulated power operation

Trend monitoring and noise signal processing system for Borssele NPP

Neural networks for monitoring and parameter estimation of high temperature gas cooling reactor (HTTR)

Session Chairman van IMORN-28, Athene

Lectures Course on Nuclear Power Plant Diagnostics Methods and Tools, Kerncentrale Borssele

On-line noise analysis for detection of flow induced vibration of a control rod at the research reactor (HOR).

Neural networks for monitoring of high temperature gas cooled reactors (HTTR)

On-line noise analysis for detection of flow induced vibration of a control rod at the research reactor (HOR)

Determination of non-uniform magnetic field effect related to airgap eccentricity in electric machines using coherence analysis

HTTR criticality, physical parameters calculations and experimental results

Plans to participate in the IAEA coordinated research programme: Evaluation of high temperature gas cooled reactor performance

Application of wavelet analysis to the signals of synchronic electric motors for detecting bearing damage due to accelerated ageing (in Turkish)

Analysis of the HTTR core physics (phase 2) Benchmark with Monte Carlo code KENO-Va (V4.3)

Neural network training by extended Kalman filtering for detection of signal/system failures

Analysis of the HTTR core physics (phase 2) Benchmark with Monte Carlo code KENO-Va (V4.3).

Studies for wavelet transform by neural networks

Reviewer voor Nuclear Technology

Hybrid monitoring system for high temperature gas cooling reactor

Real-time spectral pattern recognition using neural network for conditioning monitoring