With the development of measurement technology, non-contact high-definition
measurement (HDM) systems have allowed rapid collection of large-scale point cloud data …

High-dimensional data refers to a dataset that contains many variables or features, typically
with many more features p than observations n (ie n< p). With technological advancements …

Monitoring high-dimensional processes is a challenging task, as the underlying dependency
structure among variables is often too complicated to estimate accurately. The inherent …

Assessing the medical quality of hospitals based on control charts has received lots of
attention. However, existing control charts produce delay and false alarms when applying to …

Modern manufacturing and quality monitoring involve multi-class out-of-control (OOC)
information from the training sample. It is essential to use such information during online …

This paper offers new multivariate statistical process monitoring schemes to study the
process shift supported by a distinctive product quality features assessment. The proposed …