Many extensions and modifications have been made to standard process monitoring
methods such as the exponentially weighted moving average (EWMA) chart and the …

This research aimed to propose a newly-mixed control chart called the Exponentially
Weighted Moving Average—Moving Average Chart (EWMA-MA) to detect the mean change …

Effective early warning of wind turbine failures is of great significance to reduce the
operation and maintenance costs of wind farms and improve power generation efficiency. At …

In the last decade numerous papers have appeared in the statistical process monitoring
literature where the in‐control and out‐of‐control average run length (ARL) profiles of the …

The cumulative sum (CUSUM) and the exponentially weighted moving average (EWMA)
charts are renowned classical memory charts used to monitor small and moderate shifts in …

Two types of control charts exist based on different quality characteristics: variable and
attribute. These characteristics are commonly monitored using separate procedures. Only a …

The products are commonly measured by two types of quality characteristics. The variable
characteristics measure the numerical scale. Meanwhile, the attribute characteristics …

Outliers presence may lead to misdetection on out-of-control observations in Phase II,
therefore, they should be cleaned in Phase I. This paper proposes PCA Mix based T 2 chart …

Control chart is a useful statistical tool for the production process control to maintain the
product value at the standard. The objectives of this research were to propose the Tukey …

The homogeneously weighted moving average (HWMA) control chart is famous to identify
small deviations in the process mean. The plotting statistic of the HWMA chart assigns equal …