The calculation of uncertainty data based on blind number

Autor:	Jing-Zhong Li, Xiang-Long Ni, Jian-She Kang, Xu Ren
Rok vydání:	2013
Předmět:	Information management Mathematical optimization Number theory Measurement uncertainty Entropy (information theory) Sensitivity analysis Data mining computer.software_genre computer Maintenance engineering Uncertainty analysis Mathematics Data modeling
Zdroj:	2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE).
DOI:	10.1109/qr2mse.2013.6625670
Popis:	This paper illustrates the process of equipment maintenance support information analysis from the input and output of model perspective. It summarizes two kinds of uncertainty forms, probable values and interval values. The entropy theory is used to measure uncertainty in this paper. Then it explains the interval value uncertainty spreading mechanism in equipment maintenance support information analysis. The method of analysis the interval uncertainty based on blind number theory is studied. At last, combining with the uncertainty result of mean maintenance time case proves that the application of blind number theory is feasible.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f7a96d985ae408f215ac28dde16fe460 https://doi.org/10.1109/qr2mse.2013.6625670 Zobrazit plný text záznamu