New possibilities of increasing accuracy for nondestructive testing - Part 2. Data processing algorithms

被引:2
|
作者
Matiss, I [1 ]
Rotbakh, Y [1 ]
机构
[1] Latvian Acad Sci, Inst Polymer Mech, LV-1050 Riga, Latvia
关键词
correction algorithm; disturbing influence; approximation; extrapolation; unilateral transducer;
D O I
10.1016/S0963-8695(98)00073-5
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Data processing algorithms (multiparameter, correction, extrapolation) are considered for the testing methodology by calibrated disturbing factors. Multiparameter evaluation of several input parameters is based on forming independent testing channels and solving a set of equations. The correction algorithm provides the difference between ideal and disturbed calibration dependencies and therefore produces correction of measurement results. Several extrapolation algorithms make use of data transformation from the measurement range available for calibration to the real conditions of an experiment influenced by disturbing factors. (C) 1999 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:403 / 408
页数:6
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