en Statistical Process Control Statistical Process Control or Quality Control Statistical Process Control Statistical Process Control or Quality Control پژوهشي Research In this research, an iterative approach is employed to recognize and classify control chart patterns. To do this, by taking new observations on the quality characteristic under consideration, the Maximum Likelihood Estimator of pattern parameters is first obtained and then the probability of each pattern is determined. Then using Bayes’ rule, probabilities are updated recursively. Finally, when one of the updated derived statistics falls outside the calculated control interval a pattern recognition signal is issued. The advantage of this approach comparing with other existing CCP recognition methods is that it has no need for training. Simulation results show the effectiveness and accuracy of the new method to detect the abnormal patterns as well as satisfactory results in the estimation of pattern parameters. Control Chart, Pattern Recognition, Bayes\' Rule, Maximum Likelihood Estimation 223 230 http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-350-1&slc_lang=en&sid=1 Mehdi Kabiri Naeini m_kabirinaeini@yahoo.com 180031947532846003114 180031947532846003114 No Yazd University Mohammad Saleh Owlia owliams@yazduni.ac.ir 180031947532846003115 180031947532846003115 Yes Yazd University Mohammad Saber Fallahnezhad Fallahnezhad@yazduni.ac.ir 180031947532846003116 180031947532846003116 No Yazd University