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Probabilistic analysis of electromagnetic acoustic resonance signals for the detection of pipe wall thinning
Nondestructive Testing and Evaluation ( IF 2.6 ) Pub Date : 2019-10-22 , DOI: 10.1080/10589759.2019.1679141
Noritaka Yusa 1 , Haicheng Song 1 , Daiki Iwata 2 , Tetsuya Uchimoto 2, 3 , Toshiyuki Takagi 2, 3 , Makoto Moroi 4
Affiliation  

ABSTRACT This study proposes a probability of detection (POD) model for the probabilistic analysis of the detectability of electromagnetic acoustic resonance (EMAR) method for the detection and evaluation of pipe wall thinning. Forty-one carbon steel plate samples with an artificially corroded groove were prepared to simulate pipe wall thinning caused by flow-assisted corrosion. Experiments were performed to gather EMAR signals from the samples, and subsequently the depths of the grooves were evaluated based on the fundamental frequency of the measured signals. The results of the experiments showed that the error in evaluating the depth of a groove tended to increase with the depth. The results also confirmed that the surface roughness of the groove would contribute to the error, and the thickness of a plate without corrosion can be quite accurately evaluated. Analysing the measured EMAR signals using the proposed POD model, which takes these characteristics into consideration, and a conventional one confirmed that the proposed model can more reasonably evaluate the probability of detection against small wall thinning, as well as the false-positive rate.

中文翻译:

用于检测管壁变薄的电磁声共振信号的概率分析

摘要 本研究提出了一种检测概率 (POD) 模型,用于对管道壁减薄检测和评估的电磁声学共振 (EMAR) 方法的可检测性进行概率分析。制备了 41 个带有人工腐蚀槽的碳钢板样品,以模拟由流动辅助腐蚀引起的管壁变薄。进行实验以从样品中收集 EMAR 信号,随后根据测量信号的基频评估凹槽的深度。实验结果表明,评价凹槽深度的误差有随着深度的增加而增大的趋势。结果还证实了凹槽的表面粗糙度会导致误差,并且可以非常准确地评估没有腐蚀的板的厚度。使用所提出的 POD 模型分析测量到的 EMAR 信号,该模型考虑了这些特征,并且传统模型证实所提出的模型可以更合理地评估针对小壁变薄的检测概率以及假阳性率。
更新日期:2019-10-22
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