关键词: 质量监测, 质量诊断, 质量控制, 统计过程控制, 粗糙集理论

Abstract:

:Based on the statistical process control with two quality theories and the rough set theory, an integrated model of quality monitoring, diagnosis and control is proposed for the manufacturing process. In the investigation, the on-line quality monitoring and abnormal process diagnosis model based on the statistical process control with two quality theories is dealt with, and a new rough set-based quality diagnosis model is proposed to quantify the proba- bility and importance of the effects of manufacturing parameters on the quality, thus overcoming the information in- consistency and incompleteness inherent in manufacturing processes. Moreover, an optimal control algorithm of produefion quality oriented to user requirements is presented, which is then proved feasible. The correctness of the proposed models is finally verified by an application to yeast production.

Key words: quality monitoring, quality diagnosis, quality control, statistical process control, rough set theory