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2017 | OriginalPaper | Chapter

First Loop Loose Parts Field Diagnosis

Authors : Hui-Tao Yang, Jin-Bo Zhao

Published in: Nuclear Power Plants: Innovative Technologies for Instrumentation and Control Systems

Publisher: Springer Singapore

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Abstract

This paper from the loose parts of the harm, combining with the actual situation of the field, for first loop loose parts of the alarm signal after the scene recognition and diagnosis are introduced, respectively used in the diagnostic field listen to the sound of needle method, field data playback listening method and data analysis of linear positioning method, circle intersection method, hyperbolic positioning method, Newton iterative positioning method, contrast and analysis the advantages and disadvantages. And combined with field loose off parts of echo, the reactor internal structure characteristics, equipment operation state, through the positioning analysis method to determine loose parts quality and position, of first loop loose parts field diagnosis put forward own views, for follow-up of new project a loop loose parts detection system design reference.

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Literature
1.
go back to reference EJ_T 1188 (2005) Vibration monitoring of internal components of pressurized water reactor in nuclear power plant. EJ_T 1188 (2005) Vibration monitoring of internal components of pressurized water reactor in nuclear power plant.
2.
go back to reference GB/T 11807 (2008) The characteristics, design and operational procedures of acoustic detection system and exploration of loose parts. GB/T 11807 (2008) The characteristics, design and operational procedures of acoustic detection system and exploration of loose parts.
3.
go back to reference Pei-Gen Zhang (2012) Analysis of the key technology of loose parts monitoring system (C). The 2012 nuclear power plant digital control seminar 10:176–178. Pei-Gen Zhang (2012) Analysis of the key technology of loose parts monitoring system (C). The 2012 nuclear power plant digital control seminar 10:176–178.
Metadata
Title
First Loop Loose Parts Field Diagnosis
Authors
Hui-Tao Yang
Jin-Bo Zhao
Copyright Year
2017
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-3361-2_8