Stanley, 1982 - Google Patents
Online data reconciliation for process controlStanley, 1982
View PDF- Document ID
- 934597020449043897
- Author
- Stanley G
- Publication year
- Publication venue
- AIChE Annual Meeting, ov
External Links
Snippet
Combined data reconciliation with estimation of slowly changing parameters has been implemented for closed-loop control in a Chemical Plant. Goals include streamlining use of redundant measurements for backing up failed instruments, filtering noise, and, in some …
- 238000004886 process control 0 title description 23
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
- G05B23/024—Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
- G05B23/0254—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B17/00—Systems involving the use of models or simulators of said systems
- G05B17/02—Systems involving the use of models or simulators of said systems electric
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Dunia et al. | A unified geometric approach to process and sensor fault identification and reconstruction: the unidimensional fault case | |
CN103777628B (en) | Method for fitting data collected in machining factory into sine wave | |
US7349746B2 (en) | System and method for abnormal event detection in the operation of continuous industrial processes | |
Patwardhan et al. | From data to diagnosis and control using generalized orthonormal basis filters. Part II: Model predictive and fault tolerant control | |
US20060074599A1 (en) | Application of abnormal event detection technology to olefins recovery trains | |
EP0646257A4 (en) | System and method for improving model product property estimates. | |
Kamohara et al. | Product quality estimation and operating condition monitoring for industrial ethylene fractionator | |
EP0646259A4 (en) | System and method for improved flow data reconciliation ---------. | |
Patwardhan et al. | Assessing the performance of model predictive controllers | |
Stanley | Online data reconciliation for process control | |
Zhu et al. | Concurrent monitoring and diagnosis of process and quality faults with canonical correlation analysis | |
Stanley | O LI E DATA RECO CILIATIO FOR PROCESS CO TROL | |
Negiz et al. | Modeling, monitoring and control strategies for high temperature short time pasteurization systems—3. Statistical monitoring of product lethality and process sensor reliability | |
Zhou et al. | Automatic determination of optimal fault detection filter | |
Domański et al. | Multi-Criteria Control Performance Assessment Method for Multivariate MPC | |
Kano et al. | Contribution plots for fault identification based on the dissimilarity of process data | |
Shokri et al. | Real time optimization as a tool for increasing petroleum refineries profits | |
Pilario et al. | Reconstruction based fault prognosis in dynamic processes using canonical variate analysis | |
Farsang et al. | Role of steady state data reconciliation in process model development | |
Romano et al. | Robust design of fault detection and isolation systems | |
Eserin | Application of canonical variate analysis to the dynamical modeling and control of drum level in an industrial boiler | |
Wang et al. | Part mutual information based quality-related component analysis for fault detection | |
Pätsi | Indirect monitoring of energy efficiency in a simulated chemical process | |
Dai et al. | An approach for controller fault detection | |
Wilson et al. | PLS modelling and fault detection on the Tennessee Eastman benchmark |