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

Anomaly detection is an essential task for quality management in smart manufacturing. An
accurate data-driven detection method usually needs enough data and labels. However, in …

The age of Internet of Things (IoT) has witnessed the rapid development of modern data
acquisition devices and communicating-actuating networks, which enables the generation of …

Multi-profile data can provide within-and-between profile information for efficiently modeling
and monitoring system status. In practice, however, acquisition of such data requires large …

Facilitated by modern sensing and integrated circuit technology, Internet of Things (IoT)
systems now have the ability to intelligently and automatically collect data, perform …

In this paper, we present an efficient statistical method (denoted as 'Adaptive Resources
Allocation CUSUM') to robustly and efficiently detect the hotspot with limited sampling …

Multivariate data streams are crucial to accurately monitor the status of processes and detect
anomalous performance as early as possible. Thanks to advancements in sensing and …