Research Article
Intelligent Process Abnormal Patterns Recognition and Diagnosis Based on Fuzzy Logic
Algorithm 1
Calculating abnormal pattern characteristics.
Input: sample mean plotted in control chart, parameter (window size), parameter | (process mean) and (process standard deviation) | Output: characteristic numbers of abnormal patterns, OCL, FR, R andT | for in 1: do | , , , | if then Data = else Data = end if | if then else end if | if then else end if | ; | if then Data = else Data = end if | if then else end if | if then else end if | ; | if then else end if | if then else end if | ; | end for |
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