Applications of statistical methods to nondestructive evaluation
Applications of statistical methods to nondestructive evaluation
复制标题
统计方法在无损评估中的应用
DOI：
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发表时间：
1996
期刊：
影响因子：
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通讯作者：
W. Meeker
中科院分区：
文献类型：
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作者：
B. Olin;W. Meeker
无损评估 (NDE) 技术广泛应用于工业的许多制造和运营领域。濒死体验是一门高度统计的科学，在过去十年中发展迅速，接受过正规统计培训的个人的投入相对较少。这篇综述文章介绍了 NDE 的多种方法和应用中的一些方法，包括用于检测喷气发动机涡轮盘疲劳的涡流方法、用于检测锻造钛缺陷的超声波方法以及用于检测铸造过程中失控情况的射线照相方法。我们还将概述更多地使用现代统计方法来改进无损评估实践的重要潜力。无损检测中重要的统计领域包括数据分析和信号处理、决策理论、筛选和校准、测量能力评估以及使用设计的实验来改进测量/检测过程。
Nondestructive evaluation (NDE) techniques are used widely in many manufacturing and operational areas of industry. NDE is a highly statistical science that has developed rapidly over the past decade with relatively little input from individuals with forma1 training in statistics. This review article describes some of the many methods and applications of NDE, including eddy-current methods for detecting fatigue in jet-engine turbine disks, ultrasonic methods for detecting flaws in forged titanium, and radiographic methods for detecting out-of-control conditions in a casting process. We will also outline the important potential for increased use of modern methods of statistics to improve the practice of nondestructive evaluation. Areas of statistics important in NDE include data analysis and signal processing, decision theory, screening and calibration, the assessment of measurement capability, and the use of designed experiments for improvement of measurement/detection processes.