Control charts are widely used in industries to monitor a process for quality improvement.
Evaluation of the average run length (ARL) or average time to signal (ATS) plays an …

Adaptive CUSUM charts, referred to as ACUSUM charts, have attracted considerable
attention from the research community. By adjusting the reference parameter k dynamically …

For effective monitoring of the range of sustainable changes in the process median, a
nonparametric adaptive cumulative sum signed‐rank (NPACUSUM‐SR) control chart has …

Adaptive Cumulative SUM charts (ACUSUM) have been recently proposed for providing an
overall good detection over a range of mean shift sizes. The basic idea of the ACUSUM …

We study the parametric online changepoint detection problem, where the underlying
distribution of the streaming data changes from a known distribution to an alternative that is …

The cumulative sum (CUSUM) control chart is one of the most popular methods used to
detect a process mean shift. When one specific size of the mean shift is assumed, the …

This article studies the online detection of false data injection attacks (FDIAs) and
coordinated cyber-physical attacks (CCPAs) on power systems. By analyzing the hidden …

This article compares the effectiveness and robustness of nine typical control charts for
monitoring the mean of a variable, including the most effective optimal and adaptive …

This paper considers the problem of monitoring the mean of a normally distributed process
variable when the objective is to effectively detect both small and large shifts in this mean …

The continuous development of SPC is driven by challenges arising from practical
applications across diverse industries. Among others, adaptive charts are becoming more …