REAL-TIME CONDITIONAL RELIABILITY PREDICTION FROM ONLINE TOOL PERFORMANCE DATA

被引:56
作者
KIM, YS
KOLARIK, WJ
机构
[1] Industrial Engineering Department, Texas Tech University, Lubbock, TX
关键词
D O I
10.1080/00207549208948125
中图分类号
T [工业技术];
学科分类号
08 ;
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 tool survival in a drilling operation.
引用
收藏
页码:1831 / 1844
页数:14
相关论文
共 13 条
  • [1] Box G., Draper N.D., Empirical Model-Building and Response Surfaces, (1987)
  • [2] Draper N.D., Smith H., Applied Regression Analysis, (1981)
  • [3] Jalali S.A., Kolarik W., A two-dimensional decision algorithm for real-time tool monitoring, International Journal of Production Research, 29, pp. 453-462, (1991)
  • [4] Kavaratzis Y., Maiden J.D., Real-time process monitoring and adaptive control during CNC deep hole drilling, International Journal of Production Research, 28, pp. 2201-2218, (1990)
  • [5] Kim Y.S., Performance and Tool Reliability for Metallic Composites, (1991)
  • [6] Knezevic J., Real-time operational reliability, Reliability Data Collection and Use in Risk and Availability Assessment, pp. 710-715, (1989)
  • [7] Nelson W., Accelerated Testing: Statistical Models, Test Plans, and Data Analysis, (1990)
  • [8] Neter J., Wassrrman W., Kutner M.H., Applied Linear Statistical Models, (1985)
  • [9] Pau L.F., Failure Diagnosis and Performance Monitoring, (1981)
  • [10] Smith G.T., Advanced Machining, the Handbook of Cutting Technology, (1989)