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