On the reliability of data analysis in quality control

Optimal estimates of the reliability of a number of procedures are proposed, in particular, in the measurement of structures, fractures, and differences in cold brittleness as well as data mining for production control for the purpose of optimization of algorithms for quality control of metals.

Saved in:

Bibliographic Details
Published in:	Metal science and heat treatment Vol. 52; no. 7-8; pp. 341 - 346
Main Authors:	Kudrya, A. V., Shtremel, M. A.
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01-12-2010 Springer Springer Nature B.V
Subjects:	Algorithms Brittleness Characterization and Evaluation of Materials Chemistry and Materials Science Classical Mechanics Data processing Engineering Thermodynamics Estimates Fracture mechanics Heat and Mass Transfer Materials Science Metallic Materials Optimization Production control Quality control statistic quality control measurement of structures data mining fractures
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	Optimal estimates of the reliability of a number of procedures are proposed, in particular, in the measurement of structures, fractures, and differences in cold brittleness as well as data mining for production control for the purpose of optimization of algorithms for quality control of metals.
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23
ISSN:	0026-0673 1573-8973
DOI:	10.1007/s11041-010-9279-5