Hybrid Analysis of Emerging Trends for Process Control

摘要

An asymmetric approach is used for evaluating process control data, whereby one approach is used for determining entry into the emerging life cycle phase (i.e., presence of a new defect) and a different approach is used for detecting entry into the other life cycle phases such as cresting and recovering. An evidence curve is created from observed instance data for a particular defect, and the slope of this evidence curve is analyzed programmatically by applying one or more tests, in combination with sequential time-reversed estimation, to determine return-to-normal conditions with a desired level of confidence.