Deep learning is attracting widespread attention in the field of chemical process fault
diagnosis recently. However, most deep learning methods are based on supervised …

Early fault detection and fault prognosis are crucial functions to ensure safe process
operations. Fault prognosis can detect and isolate early developing faults as well as predict …

Fault-tolerant control systems (FTCS) are used in safety and critical applications to improve
reliability and availability for sustained operation in fault situations. These systems may be …

This study presents a new approach for active fault-tolerant controller (FTC) design for
constrained nonlinear multi-variable systems. The proposed approach utilize the nonlinear …

The development of process monitoring and control methods is important to maintaining
product quality in chemical plants safely and effectively. Therefore, multivariate statistical …

Multimode process monitoring has attracted much attention in academia and industry in past
decades. Generally, all the measured variables are involved to monitor a process. However …

With the increasing process complexities, data-driven fault prognosis has emerged as a
promising fault management tool that predicts and manages abnormal events well in …

Applications of Artificial Intelligence in Process Systems Engineering offers a broad
perspective on the issues related to artificial intelligence technologies and their applications …

This study investigates the sample value imbalance problem of process monitoring. A fault
detection approach based on variable selection and support vector data description (SVDD) …

In recent years, fault detection and diagnosis for industrial processes have been rapidly
developed to minimize costs and maximize efficiency by taking advantages of cheap …