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Journals / İTÜ Dergisi Seri D: Mühendislik / 2005 / Cilt: 4 - Sayı: 6

The effect of sensor reliability on reactor operation in nuclear power plants

Nükleer güç santrallarında sensör güvenirliliğinin reaktör işletimine etkileri

Serhat ŞEKER
Melih GEÇKİNLİ
Burak BARUTÇU
Pages
23–34
Publication Date
2022-10-19
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a new tool, wavelet analysis is proposed for on-line anomaly detection problem by DC-signals and it is found out to be superior tool to Kalman Filtering approach.

📌 3 Key Takeaways

🎯
Objective & Hypothesis: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.
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Key Findings & Data:The collected data is separated into two groups as AC and DC-signals.
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Conclusion & Impact:As a new tool, wavelet analysis is proposed for on-line anomaly detection problem by DC-signals and it is found out to be superior tool to Kalman Filtering approach.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

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 auto-regressive model on pre-processed sensor signals (AC-signals), Artificial Neural Networks (ANNs) applied to AC-signals and Aulo-Associalive-ANN and Mulli Input Single Output (MISO) ANN structures are implemented to solve the sensor validation problem. Spectral analysis of the ex-core neutron sensors ' AC-signals reveals the presence of a peak at 9.2 Hz due to global noise caused by the reactivity fluctuations, followed peaks characteristic of the Core Barrel Motion (CBM) in the range of 10.5 to 19.0 Hz, and finally a peak attributed to the action of the primary pumps at 25.0 Hz. Also, CBM analysis is carried out using the ex-core neutron sensors ' information which has already been validated. Furthermore MISO and Mulli Input Mulli Output (MIM0) ANNs are used for the component based validation study in the plant-wide monitoring. As a new tool, wavelet analysis is proposed for on-line anomaly detection problem by DC-signals and it is found out to be superior tool to Kalman Filtering approach.

Özet

Bu çalışmada Hollanda EPZ Borssele Nükleer Güç Santralı 'nın yeni veri toplama sistemi incelenerek işaret doğrulama ve sağlaması için kullanılabilecek çeşitli metotlar ele alınmış ve bu amaca yönelik yeni yöntemler önerilmiştir. Sensör doğrulama amacıyla AC-işaretler üzerinde Öz-İlişkili Yapay Sinir Ağı (YSA) ve Çok Girişli Tek Çıkışlı YSA 'ları uygulanmıştır. Daha sonra, doğrulanmış kalp-dışı nötron sensörlerinin işaretleri kullanılarak kalp kazanı titreşim analizi yapılmıştır. Ayrıca santral genelinde bileşen tabanlı doğrulama yapmak için DC-işaretler üzerinde Çok Girişli Çok Çıkışlı YSA 'ları kullanılmıştır. DC-işaretlerde çevrim-içi anormal durumların belirlenmesi problemine yeni bir çözüm yolu olarak dalgacık analizi kullanımı önerilmiş ve Kalman filtresi uygulamasına üstünlüğü gösterilmiştir.

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Cite This Article

ŞEKER, S., GEÇKİNLİ, M., BARUTÇU, B. (2022). The effect of sensor reliability on reactor operation in nuclear power plants. İTÜ Dergisi Seri D: Mühendislik, Cilt: 4 - Sayı: 6, 23–34. https://ajindex.com/articles/557310

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References (4)

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