An integrated approach to improve effectiveness of industrial multi-factor statistical investigations
Ескіз недоступний
Дата
2020
Автори
Miroshnichenko, V. I.
Simkin, O. I.
Сімкін, О. І.
Мірошниченко, В. І.
DOI
Назва журналу
Номер ISSN
Назва тому
Видавець
CEUR Workshop Proceedings
Анотація
An approach was developed for computer statistical analysis of big, multi-dimensional arrays of technology parameters and industrial product qual-ity indexes. It provides fully objective, mathematically comprehensive, scien-tifically grounded and physically interpretable description of the manufacturing factor effects on the performance of an industrial product. The approach inte-grates a basic Data Mining exploratory technique, multiple regression models construction and Monte-Carlo simulations. The approach was applied to indus-trial statistical arrays investigations for the ASTM A514 steel. The results ob-tained are in a good accordance with the known Material Science data and were confirmed in industry
Опис
Ключові слова
multi-dimensional data , exploratory technique , multiple regression models , Monte-Carlo simulations
Бібліографічний опис
Miroshnichenko, V., & Simkin, A. (2020). An integrated approach to improve effectiveness of industrial multi-factor statistical investigations. Computer Modeling and Intelligent Systems (CMIS-2020) : proceedings of the Third International Workshop. CEUR Workshop Proceedings, 2608, 526–535.
Miroshnichenko V., Simkin A. An integrated approach to improve effectiveness of industrial multi-factor statistical investigations. Computer Modeling and Intelligent Systems (CMIS-2020) : proceedings of the Third International Workshop. CEUR Workshop Proceedings. 2020. Vol. 2608. P. 526–535.
Miroshnichenko V., Simkin A. An integrated approach to improve effectiveness of industrial multi-factor statistical investigations. Computer Modeling and Intelligent Systems (CMIS-2020) : proceedings of the Third International Workshop. CEUR Workshop Proceedings. 2020. Vol. 2608. P. 526–535.