Principal Components Analysis for Processing Multiparameter Acoustic Signals of the Mirror-Shadow Technique for Bar Stock Control

IF 0.5 Q4 PHYSICS, MULTIDISCIPLINARY
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引用次数: 0

Abstract

The paper provides reasoning for using principal component analysis to assess the generalized characteristics of defects in processing of multiparameter acoustic signals of the multiple mirror-shadow technique for bar stock control. This technique made it possible to reduce the number of signal parameters when forming rejection criteria, develop a methodology for assessing the generalized defect characteristics, and formulate a complex rejection criterion based on the unacceptable value of the generalized defect characteristics for objects made of any grade of steel and any diameter. The results of testing the proposed approach for estimating the generalized characteristics of natural defects using the obtained regression dependence are in satisfactory agreement with the results of metallographic studies

主成分分析法处理用于酒吧库存控制的镜影技术多参数声学信号
摘要 本文介绍了在处理用于棒材库存控制的多镜面阴影技术的多参数声学信号时,使用主成分分析评估缺陷一般特征的理由。该技术使得在形成剔除标准时减少信号参数的数量成为可能,开发了一种评估广义缺陷特征的方法,并根据由任何钢种和任何直径制成的物体的广义缺陷特征的不可接受值制定了复杂的剔除标准。利用所获得的回归依赖关系来估算自然缺陷广义特征的拟议方法的测试结果与金相研究结果完全一致
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来源期刊
CiteScore
1.00
自引率
50.00%
发文量
16
期刊介绍: The scope of Optoelectronics, Instrumentation and Data Processing encompasses, but is not restricted to, the following areas: analysis and synthesis of signals and images; artificial intelligence methods; automated measurement systems; physicotechnical foundations of micro- and optoelectronics; optical information technologies; systems and components; modelling in physicotechnical research; laser physics applications; computer networks and data transmission systems. The journal publishes original papers, reviews, and short communications in order to provide the widest possible coverage of latest research and development in its chosen field.
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