ET

E Turkcan

33 records found

Vibration monitoring of a control rod at the research reactor

Trend monitoring and noise signal processing system for Borssele NPP

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

HTTR criticality, physical parameters calculations and experimental results
Conference paper (2000) - JBM de Haas (author), E Turkcan (author)

Neural networks for monitoring of high temperature gas cooled reactors (HTTR)
Conference paper (2000) - E Turkcan (author), S Seker (author)

Neural networks for monitoring and parameter estimation of high temperature gas cooling reactor (HTTR)
Conference paper (2000) - E Turkcan (author)

Lectures Course on Nuclear Power Plant Diagnostics Methods and Tools, Kerncentrale Borssele
Other (2000) - E Turkcan (author)

Session Chairman van IMORN-28, Athene
Other (2000) - E Turkcan (author)

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

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

Studies for wavelet transform by neural networks
Conference paper (1999) - O. Ciftcioglu (author), E Turkcan (author)

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

HTTR-start-up-experiments
Other (1999) - E Turkcan (author)

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

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

Reviewer voor Nuclear Technology
Other (1999) - E Turkcan (author)

Neural network training by extended Kalman filtering for detection of signal/system failures
Conference paper (1999) - JGE Versteeg (author), E Turkcan (author)

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

Real-time spectral pattern recognition using neural network for conditioning monitoring
Conference paper (1999) - E Turkcan (author)