Signal processing schemes for Eddy Current Testing of steam generator tubes of nuclear power plants

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• 作者：Shuxia Tian^a ; Zhenmao Chen^a ; ^{chenzm@mail.xjtu.edu.cn} ; Masashi Ueda^b ; Takuya Yamashita^b
• 关键词：SG ; Steam Generator ; OD ; Outside Defect ; FBR ; Fast Breeder Reactor ; WT ; Wall Thinning ; NPP ; Nuclear Power Plant ; ID ; Inside Defect ; RFECT ; Remote Field Eddy Current Testing ; PCA ; Principal Component Analysis ; SP ; Support Plate
• 刊名：Nuclear Engineering and Design
• 出版年：2012
• 期刊代码：132_00295493
• 类别：et
• 出版时间：April, 2012
• 卷：245
• 期：Complete
• 页码：78-88
• 文件大小：1392 K

摘要

In this paper, signal processing schemes developed for upgrading the Eddy Current Testing system utilized for In-Service Inspection of Steam Generator (SG) tubes of a Fast Breeder Reactor nuclear power plant are presented. Schemes for the wobbling noise recognition, signal indication extraction, defect signal classification, and the separation of mixed signals are proposed, and are applied to both signals measured in a SG mock-up and signals measured with short tube test-pieces in a laboratory environment. The signal indications are extracted based on a wavelet decomposition and threshold value approach in addition with the signal similarity and signal distance information in case of support plate signals. As it is possible for the position of a signal point to be adjusted based on the signature of the support plates, signals of a welding joint or a bending zone can be recognized based on the design or/and manufactory information. The mixed signals of defects and support plate are processed with the similarity analysis strategy and the identification of defect signals is performed by means of both a neural network approach and a statistic method. Satisfactory extraction and classification results are obtained for all the measured signals, which validated the efficiency of the proposed schemes.