Real-time conditional reliability prediction from on-line tool performance data
作者:
YONS. KIM,
WILLIAMJ. KOLARIK,
期刊:
International Journal of Production Research
(Taylor Available online 1992)
卷期:
Volume 30,
issue 8
页码: 1831-1844
ISSN:0020-7543
年代: 1992
DOI:10.1080/00207549208948125
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
This paper presents results from research aimed at developing a real-time, ‘look ahead’ reliability measure of risk relative to tool wear or breakage. The objective is to present results of a successful research effort which has developed a real-time based conditional reliability (of individual tool survival) output from two inputs; (1) real-time thrust data from an individual tool, and (2) an expected thrust performance population model. The resulting conditional tool reliability measure developed is compatible with real-time tool management. It is used to estimate the conditional probability of toot survival in a drilling operation.
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