Тип публикации: статья из журнала
Год издания: 2020
Идентификатор DOI: 10.30534/ijeter/2020/95862020
Ключевые слова: data array, data mining, digital processing, intelligent control system, roller drilling
Аннотация: Principles and tools of efficient acquisition, analysis, and processing of large data array have been determined using modern information technologies and confidence estimation of data from sensors in systems of automatic and automated control of drilling. Procedure of analysis and digital processing of large data array in real time has been developed on the basis of intelligent control of roller drilling operating under conditions of information uncertainty and related with unpredictable variations of rock properties during drilling. Using scatter plot, the structure of rock bedding in 3D space is presented. Classification rule has been developed on the basis of acquired information to solve the problem of automatic identification of rocks. Procedure of total tree walking has been used aiming at minimization of errors upon classification of samples. In order to estimate the classification strength of the developed tree, classification matrix has been proposed containing data of correctly and incorrectly classified samples. Application of intelligent data analysis (Data mining) has made it possible to detect usable data about properties of drilled rock and process variables, digital data processing, recognition of regularities and trends existing in these data. The problem of recognition of usable data in large data arrays and estimation of interrelation between various factors has been solved, regularities and trends existing in these data have been recognized with regard to roller drilling during intellectualization of roller drilling. © 2020, World Academy of Research in Science and Engineering. All rights reserved.
Журнал: International Journal of Emerging Trends in Engineering Research
Выпуск журнала: Vol. 8, Is. 6
Номера страниц: 2812-2823
ISSN журнала: 23473983
Издатель: World Academy of Research in Science and Engineering95
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