This paper provides a state-of-the-art review of the methods and applications of data-driven
fault detection and diagnosis that have been developed over the last two decades. The …

A review of the literature on control charts for multivariate quality control (MQC) is given, with
a concentration on developments occurring since the mid-1980s. Multivariate cumulative …

A major tool for quality control and management, statistical process control (SPC) monitors
sequential processes, such as production lines and Internet traffic, to ensure that they work …

Early and accurate fault detection and diagnosis for modern manufacturing processes can
minimise downtime, increase the safety of plant operations, and reduce costs. Such process …

A multivariate extension of the exponentially weighted moving average (EWMA) control
chart is presented, and guidelines given for designing this easy-to-implement multivariate …

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

When p correlated process characteristics are being measured simultaneously, often
individual observations are initially collected. The process data are monitored and special …

An overview is given of current research on control charting methods for process monitoring
and improvement. The discussion includes a historical perspective along with ideas for …

There are many applications of control charts in health-care monitoring and in public-health
surveillance. We introduce these applications to industrial practitioners and discuss some of …

We propose control chart methods for process monitoring when the quality of a process or
product is characterized by a linear function. In the historical analysis of Phase I data, we …