Data-driven modeling and applications in plant-wide processes have recently caught much
attention in both academy and industry. This paper provides a systematic review on data …

Process monitoring is crucial for maintaining favorable operating conditions and has
received considerable attention in previous decades. Currently, a plant-wide process …

With the transformation and upgrading of the manufacturing industry, manufacturing systems
have become increasingly complex in terms of the structural functionality, process flows …

With the recent advances of the Internet of Things (IoT), innovative techniques, and concepts
have emerged, such as digital twins and industrial 4.0. As one of the essential parts of a …

Multivariate statistical process monitoring involves dimension reduction and latent feature
extraction in large-scale processes and typically incorporates all measured variables …

In order to deal with the modeling and monitoring issue of large-scale industrial processes
with big data, a distributed and parallel designed principal component analysis approach is …

Both linear and nonlinear relationships may exist among process variables, and monitoring
a process with such complex relationships among variables is imperative. However …

Through condition-based maintenance strategy, engineers can monitor the health states of
equipment and take actions based on the sensor data. Limited by the low failure frequency …

The emergence of Industry 4.0 and the rapid advances in the Industrial Internet of Things
(IIoT) have provided manufacturers with the ability to remotely monitor the process by …

Plant-wide processes often have the characteristics of large-scale and multiple operating
units. Moreover, due to the closed-loop control, it is possible that the fault never affects …