Supported by the National Natural Science Foundation of China (61174114);the National High Technology Research and Development Program of China (2007AA04Z168, 2009AA04Z154);the Research Fund for the Doctoral Program of Higher Education in China (20050335018)
Since it is often difficult to build differential algebraic equations (DAEs) for chemical processes, a new data-based modeling approach is proposed using ARX (AutoRegressive with eXogenous inputs) combined with neural...
Supported by the National Natural Science Foundation of China(60574047);the National High Technology Research and Development Program of China(2007AA04Z168,2009AA04Z154);the Research Fund for the Doctoral Program of Higher Education in China(20050335018)
In industrial processes,there exist faults that have complex effect on process variables.Complex and simple faults are defined according to their effect dimensions.The conventional approaches based on structured resid...
Project supported by the National Natural Science Foundation of China (No.60574047);the National High-Tech R & D Program (863)of China (No.2007AA04Z168);the Research Fund for the Doctoral Program of Higher Education of China (No.20050335018)
A multi-loop adaptive internal model control (IMC) strategy based on a dynamic partial least squares (PLS) frame-work is proposed to account for plant model errors caused by slow aging,drift in operational conditions,...
Project supported by the National Natural Science Foundation of China (No. 60574047);the National High-Tech R & D Program (863) of China (Nos. 2007AA04Z168 and 2009AA04Z154);the Research Fund for the Doctoral Program of Higher Education in China (No. 20050335018)
Multiscale classification has potential advantages for monitoring industrial processes generally driven by events in different time and frequency domains.In this study, we adopt stationary wavelet transform for multis...