@inproceedings{de9bb597518240bb9aab3e6f2f438c3c,
title = "G{\"u}{\c c} santrali g{\"o}zetiminde yapay sinir aǧi tabanli algilayici doǧrulanmasi",
abstract = "In this study, the data acquisition system of the Netherlands EPZ Borssele Nuclear Power Plant (NPP) is considered and studied for signal validation and verification purposes. The collected data is separated into two groups as AC and DC-signals. Here AC-signals are pre-processed before being sampled for noise analysis studies, while DC-signals are sampled and recorded as received. With the aim of sensor validation, sensor response times were determined using autoregressive model on pre-processed sensor signals (AC-signals), Artificial Neural Networks (ANNs) are applied to AC-signals and Auto-Associative-ANN and Multi Input Single Output (MISO) ANN structures are implemented to solve the sensor validation problem. Furthermore MISO and Multi Input Multi Output (MIMO) ANNs are used for the component based validation study in the plant-wide monitoring.",
author = "Burak Barut{\c c}u and Erdin{\c c} T{\"u}rkcan and Serhat {\c S}eker",
year = "2005",
doi = "10.1109/SIU.2005.1567664",
language = "T{\"u}rk{\c c}e",
isbn = "0780392396",
series = "Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005",
pages = "237--240",
booktitle = "Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005",
note = "IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005 ; Conference date: 16-05-2005 Through 18-05-2005",
}