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.
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| Veröffentlicht in: | Metal science and heat treatment 2010-12, Vol.52 (7-8), p.341-346 |
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| Hauptverfasser: | , |
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| container_end_page | 346 |
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| container_issue | 7-8 |
| container_start_page | 341 |
| container_title | Metal science and heat treatment |
| container_volume | 52 |
| creator | Kudrya, A. V. Shtremel, M. A. |
| description | 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. |
| doi_str_mv | 10.1007/s11041-010-9279-5 |
| format | Article |
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| identifier | ISSN: 0026-0673 |
| ispartof | Metal science and heat treatment, 2010-12, Vol.52 (7-8), p.341-346 |
| issn | 0026-0673 1573-8973 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_907949177 |
| source | Springer Nature - Complete Springer Journals |
| 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 |
| title | On the reliability of data analysis in quality control |
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