Abstract The Internet of Things benefits connectivity and functionality in industrial
environments, while Cloud Computing boosts computational capability. Hence, historical …

Modern chemical plants maintain large historical databases recording past sensor
measurements which advanced process monitoring techniques analyze to help plant …

REVIEW an earlier paper of special significance is referenced. The key aspects of this
review include advances in measurement technologies that are applicable for at-line or …

A multimodal modeling and monitoring approach based on maximum likelihood principal
component analysis and a component‐wise identification of operating modes are presented …

A method for the detection and diagnosis of various faults in chemical processes based on
the combination of recurrence quantification analysis and unsupervised learning clustering …

This study proposes an online monitoring technique for nonlinear multiple-mode problems
in industrial processes. The contributions of the proposed technique are summarized as …

Alarm systems are of paramount importance for safe and efficient operations of industrial
plants. This paper proposes a method to design dynamic alarm limits and adjust …

Traditional multiple model process monitoring methods usually yield satisfactory results for
multi-mode processes under the assumption that the processes are time invariant. However …

Data-based fault diagnosis technology applied in chemical industry process has attracted
great attention, in which the effective methods for visualizing the process variation are still …

Quality prediction of complex production process has increasingly attracted the interests of
manufacturers and researchers. Complex production process has the characteristics of sub …