On-line Fault Detection and Supervision in the Chemical Process Industries, 1995: A Postprint Volume from the IFAC Workshop, Newcastle Upon Tyne, UK, 12-13 June 1995
A. J. Morris, E. B. Martin
International Federation of Automatic Control, 1996 - Technology & Engineering - 237 pages
Paperback. These proceedings contain the papers from the IFAC Workshop on On-Line Fault Detection and Supervision in the Chemical Process Industries held in Newcastle-upon-Tyne, UK, 12-13 June 1995. The Workshop provided an ideal forum for academic and industrial researchers to discuss their experience and research results in this field. Topics covered included: Multivariate Methods, Neural Network Approaches, Supervision, Control & Diagnosis, Expert Systems, Learning & Dependable Systems, Performance & Fault Detection, Model Based Systems and Applications.
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Confidence Bounds for Multivariate Process Performance Monitoring Charts
E B MARTIN A J MORRIS M C PAPAZOGLOU
26 other sections not shown
AANN algorithm analysis application approach Arzen batch bond graph Chemometrics closed loop computational constraints control loop crude unit cycles defined detection and isolation Detection and Supervision developed DIALOGS disturbance dynamic systems elements Engineering error estimation example expert system failure detection fault detection fault diagnosis filter flow fuzzy Gertler Grafcet Grafchart graph heat exchanger hidden node identified IEEE implementation input invariant zero Kalman filter leak linear matrix measured variables methods model equations Model Predictive Control model-based monitoring multivariate neural network Newcastle upon Tyne noise nonlinear observer On-line Fault Detection operation optimal output parameter parity space Patton performance plant polynomial possible prediction principal components problem Proc procedure process control process fault pump reactor residual robust sample sensor shown in Figure signal simulation specification statistical structure subsystem techniques temperature tion transfer function uncertainty valve vector