Real-time conditional reliability prediction from on-line tool performance data
| Autor: | William J. Kolarik, Yon S. Kim |
|---|---|
| Rok vydání: | 1992 |
| Předmět: |
Measure (data warehouse)
Engineering business.industry Strategy and Management Conditional probability Thrust Management Science and Operations Research Industrial and Manufacturing Engineering Reliability engineering Tool management Line (geometry) Tool wear business Look-ahead Reliability (statistics) Simulation |
| Zdroj: | International Journal of Production Research. 30:1831-1844 |
| ISSN: | 1366-588X 0020-7543 |
| DOI: | 10.1080/00207549208948125 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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