Abstract

In accordance with Ref. (GOST R 58328-2018 “Pipelines of Nuclear Power Plants. Leak Before Break Concept”), NPPs with VVER-1200 reactors operate an acoustic leak monitoring system (ALMS) and a humidity leak monitoring system (HLMS), each performing the leak monitoring functions locally, independently of the other. The diagnostics results are conveyed to the upper level control system (LCS) to be further displayed for the main control room (MCR) operating personnel. There is also an integrated diagnostics system (IDS) intended to confirm the diagnosis and to update the leak rate values and coordinates based on analyzing the leak monitoring system readings and I&C signals. The system measuring channel readings are composed of background noise, the source for which are processes on the part of the reactor facility’s key components and auxiliary systems, and the leak signal in response to the leak occurrence. A major factor that affects the capability of leak monitoring systems to detect the leak is the quality of the background noise filtering. A new efficient global noise filtering method is proposed for being used as part of the integrated diagnostics system (IDS).

Highlights

  • The primary and secondary circuit acoustic leak monitoring systems (ALMS and ALMS-C2) are most sensitive to all of the events which occur in the reactor facility

  • A new efficient global noise filtering method is proposed for being used as part of the integrated diagnostics system (IDS)

  • Ambient noise is comparable with the useful leak signal which may lead to malfunctions of the diagnostic system

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Summary

Research Article

Efficient method for the global noise filtering in measuring channels of the VVER NPP leak monitoring systems*. Academic editor: Yury Korovin ♦ Received 12 May 2020 ♦ Accepted 20 December 2020 ♦ Published @ ##### 2021

Introduction
Recording of current information
Data validity
Computational and experimental justification of the algorithm for the ALMS
Leak simulation
Conclusions

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