Diagnosis of process nonlinearities and valve stiction

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The series includes a contributed volume focused on process controller assessment methods, highlighting advancements in diagnosing causes of process or control loop degradation. Researchers are utilizing on-line data to identify faults through new diagnostic indicators, with a significant emphasis on valve issues, as statistics indicate that up to 40% of control loops suffer performance degradation due to valve problems. Shoukat Choudhury, Sirish Shah, and Nina Thornhill have extensively explored this area and present their findings in a cohesive monograph. This work represents a substantial addition to the process diagnostic literature, emphasizing the use of extensive process data archives generated by modern process computer systems. Additionally, the application of higher-order statistics is discussed, linking back to traditional statistical process control methods. The monograph serves as a valuable resource for understanding process nonlinearities and valve stiction, contributing to ongoing research and practical applications in the field of industrial control.