Sometimes the quality of a process is best expressed by a relationship between response
variables and explanatory variables. Checking over the time the stability of such functional …

The purpose of this paper is to provide an overview and our perspective of recent research
and applications of statistical process monitoring. The focus is on work done over the past …

The multi-channel sensor data are widely collected during a manufacturing process to detect
the variation of product quality. Multi-channel data can provide comprehensive information …

Image and video sensors are increasingly being deployed in complex systems due to the
rich process information that these sensors can capture. As a result, image data play an …

High-dimensional data monitoring and diagnosis has recently attracted increasing attention
among researchers as well as practitioners. However, existing process monitoring methods …

Adverse weather events can significantly compromise the availability and economics of a
wind farm. This paper focuses on rotor icing detection, which constitutes a major challenge …

This article presents the concepts, methodologies, and applications of In-Process Quality
Improvement (IPQI) in complex manufacturing systems. As opposed to traditional quality …

Process monitoring and fault diagnosis using profile data remains an important and
challenging problem in statistical process control (SPC). Although the analysis of profile data …

The use of video-imaging data for in-line process monitoring applications has become
popular in industry. In this framework, spatio-temporal statistical process monitoring methods …

In recent years, effective profile monitoring for discrete response variables, such as binary,
multinomial, ordinal or Poisson variables, has increasingly attracted interest of researchers …