A Variable-Selection-Based Multivariate EWMA Chart for Process Monitoring and Diagnosis
A Variable-Selection-Based Multivariate EWMA Chart for Process Monitoring and Diagnosis
Fault detection and root cause identification are both important tasks in Multivariate Statistical Process Control (MSPC) for improving process and product quality. Most traditional control charts, including Hotelling's T2 chart and the Multivariate Exponential Weighted Moving Average (MEWMA) chart, separate the two tasks into independent and successive procedures by signaling …