Search Results - "Mabel C. Sanchez"

Robust Estimators for Data Reconciliation by Llanos, Claudia E, Sanchéz, Mabel C, Maronna, Ricardo A

“…In this work, a comparative performance analysis of robust data reconciliation strategies is presented. The study involves two procedures based on the biweight…”
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Robust Estimation of Nonredundant Measurements and Equivalent Sets of Observations by Llanos, Claudia E, Sanchéz, Mabel C, Maronna, Ricardo A

“…The equation-oriented estimation of measurements constitutes the initial stage of many procedures devoted to optimizing a chemical plant. Nevertheless, the…”
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Classification of Systematic Measurement Errors within the Framework of Robust Data Reconciliation by Llanos, Claudia E, Sánchez, Mabel C, Maronna, Ricardo A

“…A robust data reconciliation strategy provides unbiased variable estimates in the presence of a moderate quantity of atypical measurements. However, estimates…”
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Optimal Sensor Network Upgrade for Fault Detection Using Principal Component Analysis by Rodriguez, Leandro P. F, Cedeño, Marco V, Sánchez, Mabel C

“…The efficiency of a fault monitoring system critically depends on the structure of the plant instrumentation system. For processes monitored using principal…”
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Sensor Location for Enhancing Fault Diagnosis by Rodriguez, Leandro P. F, Cedeño, Marco V, Sánchez, Mabel C

“…Multivariate statistical control techniques have been successfully applied to the detection and isolation of process faults. Because those strategies evaluate…”
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Bioprocess statistical control: Identification stage based on hierarchical clustering by Cedeño, Marco V., Rodríguez Aguilar, Leandro P.F., Sánchez, Mabel C.

“…[Display omitted] •A new strategy for the statistical monitoring of batch processes is presented and applied to follow fermentor operations.•The strategy works…”
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Structural Approach To Design Sensor Networks for Fault Diagnosis by Rodriguez, Leandro P. F, Cedeño, Marco V, Sánchez, Mabel C

“…Key faults significantly affect the normal operation of the process originating risk conditions. These failures should be identified even in the presence of…”
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A robust methodology for the sensor fault detection and classification of systematic observation errors by Llanos, Claudia E., Sanchéz, Mabel C., Maronna, Ricardo A.

“…Robust Data Reconciliation enhances the quality of variable estimates when the data set contains a moderate proportion of atypical observations. But if…”
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multivariate statistical process control procedure for BIAS identification in steady-state processes by Sánchez, Mabel C, Alvarez, Carlos R, Brandolin, Adriana

“…In this article, a multivariate statistical process control (MSPC) strategy, devoted to bias identification and estimation for processes operating under…”
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Direct Method for Structural Observability Analysis by Ponzoni, Ignacio, Sánchez, Mabel C, Brignole, Nélida B

“…A noncombinatorial method for structural observability analysis is presented in this paper. The technique rearranges the process occurrence matrix to a…”
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Dynamic System State Estimation and Outlier Detection Using Robust Data Reconciliation by Claudia E. Llanos, Mabel C. Sanchez, Ricardo A. Maronna

“…State estimation and detection of measurement systematic errors are critical components of plant monitoring and control procedures. Reliable estimations of the…”
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An efficient methodology to select high-performance M-estimators for robust data reconciliation by Llanos, Claudia E., Sánchez, Mabel C.

“…•An efficient strategy is proposed to select M-estimators, which is model-independent.•The procedure makes a quick screening of M-estimators’ performance,…”
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A Symbolic Derivation Approach for Redundancy Analysis by Ferraro, Sebastián J, Ponzoni, Ignacio, Sánchez, Mabel C, Brignole, Nélida B

“…Redundancy analysis is an important stage in plant instrumentation design that consists of classifying the measurements so as to determine the redundant ones…”
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Sensor location for nonlinear state estimation by Rodriguez, Leandro P.F., Tupaz, Jhovany A., Sánchez, Mabel C.

“…The structure of the sensor network installed in the plant strongly influences the performance of state estimation techniques. One of them, the Unscented…”
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Design of Sensor Networks for Chemical Plants Based on Meta-Heuristics by Carnero, Mercedes, Hernández, José L., Sánchez, Mabel C.

“…In this work the optimal design of sensor networks for chemical plants is addressed using stochastic optimization strategies. The problem consists in selecting…”
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Design and upgrade of nonredundant and redundant linear sensor networks by Bagajewicz, Miguel J., Sánchez, Mabel C.

“…The design of sensor networks featuring minimum cost, while satisfying constraints of redundancy only, is examined. For this purpose, the concept of degree of…”
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Batch process monitoring in the original measurement's space by Alvarez, Carlos R., Brandolin, Adriana, Sánchez, Mabel C.

“…Quality control and safety related issues have become more and more important in industrial production of high added value products and chemical specialities…”
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A new approach to estimate variable contributions to Hotelling's statistic by Cedeño Viteri, Marco V., Rodríguez Aguilar, Leandro P.F., Alvarez Medina, Carlos R., Sánchez, Mabel C.

“…Hotelling's statistic, also called T2-statistic, is widely used in statistical process control as an extension of the univariate student's chart to reliably…”
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Sensor Network Design based on the Observability and Precision degree by Rodriguez, Leandro, Pantano, Nadia, Scaglia, Gustavo, Sanchez, Mabel

“…The Unscented Kalman Filter is a state estimation method used in nonlinear dynamic systems to estimate the mean and covariance of a random variable undergoing…”
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Hybrid Simulated Annealing for Optimal Cost Instrumentation in Chemical Plants by Jose Hernandez, Carolina Salto, Gabriela Minetti, Mercedes Carnero, Mabel C. Sanchez

“…Process information is the foundation upon which many common tasks in chemical plants are based. To satisfy information requirements regarding its quality and…”
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