Fault detection and diagnosis are important technologies for the safe and efficient operation of a chemical plant. This paper describes a sensor fault identification approach using variable reconstruction for dynamic ...
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In many cases, optimal operation for a plant is the same as maximum throughput. In this case a rigorous model for the plant is not necessary if we are able to identify the bottleneck. Optimal operation is the same as ...
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In many cases, optimal operation for a plant is the same as maximum throughput. In this case a rigorous model for the plant is not necessary if we are able to identify the bottleneck. Optimal operation is the same as maximum throughput in the bottleneck. If the bottleneck does not move, this can be realized with singleloop controller from the throughput manipulator to the bottleneck. However, if the bottleneck moves, single-loop control would require reassignment of loops which is undesirable. A better approach is then to use a multivariable coordinator controller since input and output constrains are directly included in the problem formulation.
The importance of the FDA PAT guidelines in pharmaceutical process design space can be influenced by the introduction of robust process malfunction and senor fault detection and diagnosis tools. The paper compares a m...
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The importance of the FDA PAT guidelines in pharmaceutical process design space can be influenced by the introduction of robust process malfunction and senor fault detection and diagnosis tools. The paper compares a multi-scale multi-block modelling approach with conventional multiway PCA approaches for batch process monitoring. A benchmark penicillin fermentation simulation is used to evaluate the two methodologies. Contributions plots with confidence bounds enhance the fault diagnosis potential of the approaches studied. The methodology is in the process of being evaluated in fermentation and batch cooling crystallisation.
Fault detection and diagnosis are important technologies for the safe and efficient operation of a chemical plant. This paper describes a sensor fault identification approach using variable reconstruction for dynamic ...
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Fault detection and diagnosis are important technologies for the safe and efficient operation of a chemical plant. This paper describes a sensor fault identification approach using variable reconstruction for dynamic systems. The proposed methodology extends sensor fault reconstruction for Canonical Variate Analysis based process performance monitoring which admits process dynamic behaviour in a natural way, and evaluates its capabilities compared to a dynamic PCA approach using a mathematical benchmark problem and a simulation of a closed loop controlled CSTR previously used for studying both simple and complex faults.
A minitype of tension-torsional fatigue test machine was developed to satisfy the demand for experimental study on micro-electronical material and polymer material. By using a minitype controllable electromotor system...
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A minitype of tension-torsional fatigue test machine was developed to satisfy the demand for experimental study on micro-electronical material and polymer material. By using a minitype controllable electromotor system, the test machine was developed with high precision, short response time, low power consuming and low cost. Since the adoption of two controllers in charge of the tension channel and torsion channel separately, both tension and torsion control can be realized independently, and any loading path can be achieved just by compiling simple codes. A series of multiaxial cyclic constitutive tests of Sn-0.7Cu solder with several nonproportional loading paths were conducted on the machine successfully. It is shown that cyclic constitutive test and multiaxial fatigue test of material under nonproportional loading paths can be performed by the test machine. The test result reflected the obvious nonproportional additional hardening of Sn-0.7Cu solder.
The main objective of this work is the development of an advanced control scheme for the fluid catalytic cracking (FCC) pilot plant (PP) operated in the chemicalprocessengineering Research Institute (CPERI). This pi...
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The main objective of this work is the development of an advanced control scheme for the fluid catalytic cracking (FCC) pilot plant (PP) operated in the chemicalprocessengineering Research Institute (CPERI). This pilot plant is used for catalyst benchmarking, a very demanding procedure, that requires unit operation within a predefined span in order to match the industrial standards. For the tight, robust and efficient control of the FCC pilot plant a non-linear model predictive control (MPC) strategy is implemented, along with an extended Kalman filter (EKF) for state and parameter estimation.
The objectives of dynamic data rectification are wide-ranging and include the estimation of the process states, process signal de-noising, and outlier detection and removal. One approach reported in the literature for...
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Fault detection and diagnosis are important for the safe and efficient operation of a chemical plant. This paper proposes a weighted combined contribution plot. Fault identification using either Q or T2 contribution p...
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A nonlinear multiscale multivariate statistical processcontrol method is proposed to address fault detection and diagnosis issues at different scales in nonlinear processes. A kernel principal component analysis (KPC...
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The aim of the paper is to present results of reboiler temperature control by control system Simatic. To control of reboiler was designed controller by methodology for integrating time-delay system. Time-delay term is...
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ISBN:
(纸本)8086059456
The aim of the paper is to present results of reboiler temperature control by control system Simatic. To control of reboiler was designed controller by methodology for integrating time-delay system. Time-delay term is approximated by Pade approximation.
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