9 – PROCESS DATA RECONCILIATION AND RECTIFICATION

[1]  A. Willsky,et al.  A generalized likelihood ratio approach to state estimation in linear systems subjects to abrupt changes , 1974, CDC 1974.

[2]  S. Nogita,et al.  Statistical Test and Adjustment of Process Data , 1972 .

[3]  Richard S.H. Mah,et al.  Estimation of flows and temperatures in process networks , 1977 .

[4]  On material balances for chemically reacting systems , 1975 .

[5]  H. Britt,et al.  The Estimation of Parameters in Nonlinear, Implicit Models , 1973 .

[6]  R. E. Kalman,et al.  A New Approach to Linear Filtering and Prediction Problems , 2002 .

[7]  Richard S. H. Mah,et al.  Generalized likelihood ratio method for gross error identification , 1987 .

[8]  Ajit C. Tamhane,et al.  Data Reconciliation and Gross Error Detection in Chemical Process Networks , 1985 .

[9]  Richard S.H. Mah,et al.  Effect of redundancy on estimation accuracy in process data reconciliation , 1987 .

[10]  J. Romagnoli On data reconciliation: Constraints processing and treatment of bias , 1983 .

[11]  G. C. Tiao,et al.  Consistent Estimates of Autoregressive Parameters and Extended Sample Autocorrelation Function for Stationary and Nonstationary ARMA Models , 1984 .

[12]  R. J. MacDonald,et al.  Data reconciliation and parameter estimation in plant performance analysis , 1988 .

[13]  Z. Šidák Rectangular Confidence Regions for the Means of Multivariate Normal Distributions , 1967 .

[14]  R. Serth,et al.  Gross error detection and data reconciliation in steam-metering systems , 1986 .

[15]  Ajit C. Tamhane,et al.  A Bayesian approach to gross error detection in chemical process data: Part II: Simulation results☆ , 1988 .

[16]  Richard S.H. Mah,et al.  Generalized likelihood ratios for gross error identification in dynamic processes , 1988 .

[17]  Ajit C. Tamhane,et al.  A Bayesian approach to gross error detection in chemical process data: Part I : Model development , 1988 .

[18]  Ajit C. Tamhane,et al.  Performance studies of the measurement test for detection of gross errors in process data , 1985 .

[19]  V. Hlaváček,et al.  Analysis of a complex plant-steady state and transient behavior , 1977 .

[20]  Richard S.H. Mah,et al.  Estimation of measurement error variances from process data , 1984 .

[21]  Richard S. H. Mah,et al.  Reconcillation and Rectification of Process Flow and Inventory Data , 1976 .

[22]  Chen Shan Kao,et al.  Detecting changes of steady states using the mathematical theory of evidence , 1987 .

[23]  František Madron A new approach to the identification of gross errors in chemical engineering measurements , 1985 .

[24]  Ajit C. Tamhane,et al.  Detection of gross errors in process data , 1982 .

[25]  John W. Gorman,et al.  Statistical analysis of constrained data sets , 1980 .

[26]  C. F. Shewchuk,et al.  Reconciliation of process data with process simulation , 1986 .

[27]  George Stephanopoulos,et al.  Rectification of process measurement data in the presence of gross errors , 1981 .

[28]  Chen Shan Kao,et al.  Gross Error Detection in Serially Correlated Process Data , 1990 .

[29]  C. M. Crowe,et al.  Reconciliation of process flow rates by matrix projection. Part II: The nonlinear case , 1983 .

[30]  Ajit C. Tamhane,et al.  A Composite Statistical Test for Detecting Changes of Steady States , 1986 .

[31]  Rutherford Aris,et al.  Independence of Chemical Reactions , 1963 .

[32]  C. M. Crowe,et al.  Recursive identification of gross errors in linear data reconciliation , 1988 .

[33]  W. A. Heenan,et al.  Detecting errors in process data , 1986 .

[34]  Ajit C. Tamhane A note on the use of residuals for detecting an outlier in linear regression , 1982 .

[35]  R. Willoughby,et al.  Some results on sparse matrices , 1970 .