Study on Reliability Modeling of NC Machine Tool Based on Self-expansion Method

Autor:	Meng Nie, Hai-bo Zhang
Rok vydání:	2019
Předmět:	business.product_category Computer science Self expansion business Reliability (statistics) Machine tool Reliability engineering
Zdroj:	IOP Conference Series: Materials Science and Engineering. 563:052071
ISSN:	1757-899X 1757-8981
Popis:	With the improvement of the reliability of NC machine tools, it is becoming more and more difficult to obtain a large number of fault data. To deal with this problem, the improved Bootstrap sampling method is proposed. The failure data, which is gained by using seven a type of NC machine tools to monitor failure data for half year, is used respectively for the improved Bootstrap sampling method and the classic series research method. The results have been analyzed and calculated, and show that the Bootstrap sampling method’s relative error is obviously lower than the classic series research method’s. The improved Bootstrap sampling method is proved to be feasible in reliability modeling.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::62b5ceba667fc7dd613dcfadb3d49116 https://doi.org/10.1088/1757-899x/563/5/052071 Zobrazit plný text záznamu