Significance of statistical testing and data integration in acoustic emission analysis

IF 3.4 2区物理与天体物理 Q1 ACOUSTICS

Applied Acoustics Pub Date : 2025-09-30 DOI:10.1016/j.apacoust.2025.111099

Vimalathithan Paramsamy Kannan, Claudia Barile

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引用次数: 0

Abstract

In the applications of structural health monitoring, Acoustic Emission (AE) data can be considered Big Data simply due to the large number of signals acquired or the stochastic relationship between their different variables. However, statistical tests or significance tests are not used in the AE data analysis, neither in the AE signal processing nor in parameter analysis. This study addresses the importance of the significance tests in the AE data analysis (both signal-based and parameter-based approaches). Artificial stress waves are simulated on a stainless steel 304 plate using the Hsu-Nielsen source and Low-Velocity Impact (LVI) events to generate data to enrich the dataset. Statistical tests such as

χ^{2}

and Kruskal-Wallis (KW) tests are used to analyse the signal-based and parameter-based AE data. Statistical analysis minimised the effect of the noise floor in the time-frequency analysis of the AE signals and reduced the sensor effects in the extracted AE descriptors. In addition, the significance tests also revealed the most appropriate method for integrating the AE data acquired from different sensors.

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统计检验与数据整合在声发射分析中的意义

在结构健康监测的应用中，声发射（AE）数据由于其采集的信号数量多或不同变量之间的随机关系，可以简单地认为是大数据。然而，在声发射数据分析中，无论是在声发射信号处理中，还是在参数分析中，都没有使用统计检验或显著性检验。本研究探讨了声发射数据分析（基于信号和基于参数的方法）中显著性检验的重要性。利用Hsu-Nielsen源和低速冲击（LVI）事件在304不锈钢板上模拟人工应力波，生成数据，丰富数据集。统计检验如χ2和Kruskal-Wallis （KW）检验用于分析基于信号和基于参数的声发射数据。统计分析在声发射信号的时频分析中最大限度地减少了噪声底的影响，并减少了提取的声发射描述符中的传感器效应。此外，显著性检验还揭示了整合不同传感器声发射数据的最合适方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Acoustics 物理-声学

CiteScore

7.40

自引率

11.80%

发文量

618

审稿时长

7.5 months

期刊介绍： Since its launch in 1968, Applied Acoustics has been publishing high quality research papers providing state-of-the-art coverage of research findings for engineers and scientists involved in applications of acoustics in the widest sense. Applied Acoustics looks not only at recent developments in the understanding of acoustics but also at ways of exploiting that understanding. The Journal aims to encourage the exchange of practical experience through publication and in so doing creates a fund of technological information that can be used for solving related problems. The presentation of information in graphical or tabular form is especially encouraged. If a report of a mathematical development is a necessary part of a paper it is important to ensure that it is there only as an integral part of a practical solution to a problem and is supported by data. Applied Acoustics encourages the exchange of practical experience in the following ways: • Complete Papers • Short Technical Notes • Review Articles; and thereby provides a wealth of technological information that can be used to solve related problems. Manuscripts that address all fields of applications of acoustics ranging from medicine and NDT to the environment and buildings are welcome.