首页   按字顺浏览 期刊浏览 卷期浏览 Real-time conditional reliability prediction from on-line tool performance data
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.

 

点击下载:  PDF (384KB)



返 回