Abstract Fault Diagnosis and Health Monitoring (FD-HM) for modern control systems have
been an active area of research over the last few years. Model-based FD-HM computational …

In this paper we discuss the basic procedures for the implementation of multivariate
statistical process control via control charting. Furthermore, we review multivariate …

Control charts are powerful tools used to monitor the quality of processes. In practice, control
chart limits are often calculated using parameter estimates from an in-control Phase I …

Additive manufacturing (AM), commonly known as three-dimensional printing, is widely
recognized as a disruptive technology, and it has the potential to fundamentally change the …

We provide an overview and perspective on the Phase I collection and analysis of data for
use in process improvement and control charting. In Phase I, the focus is on understanding …

We propose a statistical process control scheme that can be implemented in industrial
practice, in which the quality of a process can be characterized by a general linear profile …

A control chart based on the change-point model is proposed that is able to monitor linear
profiles whose parameters are unknown but can be estimated from historical data. This chart …

We provide an overview and discussion of some issues and guidelines related to monitoring
univariate processes with control charts. We offer some advice to practitioners to help them …

This volume hopes to fill a growing need for the description of current methodology in public
health surveillance. Recent advances in syndromic surveillance and, more generally, in …

To use control charts in practice, the in‐control state usually has to be estimated. This
estimation has a detrimental effect on the performance of control charts, which is often …