Mohammed Alquraish

A Feature‐Enhanced Artificial Neural Network‐Assisted Adaptive Truncated EWMA Control Chart for Robust Monitoring of Contaminated Processes

ABSTRACT The use of conventional memory‐type control charts can be significantly hindered by the presence of outliers and contaminated observations, as these can lead to excessive false alarms and be difficult to detect true process shifts. To tackle the aforementioned problems,...