Data reconciliation and gross‐error detection for dynamic systems

Albuquerque, J. Sodré; Biegler, Lorenz T.

doi:10.1002/aic.690421014

Cited by 173 publications

(93 citation statements)

References 21 publications

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“…In particular, o k is the outlier, w k is the noise and b k represents any other kind of fault such as, for instance, a sustained error in the measurements, or systematic errors due to the instrumentation. An additive error model similar to an extension of the outlier model presented in [5,12] is also shown in (1). A multiplicative error model in which the errors have been multiplied instead of added is another example of an error model described in the scientific literature.…”

Section: Mathematical Preliminarymentioning

confidence: 99%

“…It becomes more and more essential to clean the data coming from a distributed control system (DCS) because applications in the field of production rely on a great quantity of raw data. Soft sensoring, data reconciliation and parameter estimation need "clean data" [1]. A denoising method based on techniques described in [2] is shown in [3].…”

Section: Introductionmentioning

confidence: 99%

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A Fault Detection and Data Reconciliation Algorithm in Technical Processes with the Help of Haar Wavelets Packets

Mercorelli

2017

Algorithms

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This article is focused on the detection of errors using an approach that is signal based. The proposed algorithm considers several criteria: soft, hard and very hard recognition error. After the recognition of the error, the error is replaced. In this sense, different strategies for data reconciliation are associated with the proposed criteria error detection. Algorithms in several industrial software platforms are used for detecting errors of sensors. Computer simulations confirm the validation of the presented applications. Results with actual sensor measurements in industrial processes are presented.

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Section: Mathematical Preliminarymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Fault Detection and Data Reconciliation Algorithm in Technical Processes with the Help of Haar Wavelets Packets

Mercorelli

2017

Algorithms

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“…Liebman et al (1992) propuseram um novo mé-todo capaz de reconciliar e estimar parâmetros para sistemas dinâmicos e não lineares, de estimar as variáveis de estado e de lidar com restricões de desigualdade. Albuquerque and Biegler (1996) propuseram o uso do método Runge-Kutta implícito para discretizar as equações diferenciais. Bagajewicz and Jiang (1997) propuseram um novo método para RDD em sistemas lineares.…”

Section: Reconciliação De Dadosunclassified

Análise de técnicas de reconciliação de dados aplicadas a um sistema vaso separador

Santos¹,

Lima²

2013

Proceeding Series of the Brazilian Society of Computational and Applied Mathematics

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Abstract-The measurement of variables from an industrial process is of great importance in systems in which decisions are made based on these measurements, as in control systems. However, these measurements are always accompanied by errors, random or gross. This is not different in the process of oil separating. An alternative for a greater reliability of the variables is the use of data reconciliation (DR). RD arises from the development of techniques for measurement and data storage. Its role is to ensure the consistency of data using the redundancy of the measurements and a statistical model of the measurements to increase its accuracy. This work investigates techniques for data reconciliation and its use in reducing the errors observed in measurements on a separator vessel.Keywords-Random erros, data reconciliation, separator vessel.Resumo-A medição das variáveis envolvidas em um processo industrial tem uma grande importância em sistemas em que decisões são tomadas baseadas nessas medições, comoé o caso de sistemas de controle. Porém, essas medições sempre são acompanhadas de erros, sejam eles aleatórios ou grosseiros. No processo de separação do petróleo utilizando o sistema vaso separador isso nãoé diferente. Uma alternativa para uma maior confiabilidade das variáveisé o uso da reconciliação de dados (RD). A RD trata de um problema advindo da evolução das técnicas de medição e armazenamento de dados. Esta tem o papel de garantir a consistência destes dados, utilizando a redundância das variáveis medidas e um modelo estatístico da medição para aumentar a precisão dos dados. Este trabalho investiga as técnicas de reconciliação de dados e seu emprego na redução dos erros observados nas medições em um sistema vaso separador.Palavras-chave-Erros aleatórios, reconciliação de dados, vaso separador. IntroduçãoPara um bom funcionamento de qualquer sistema automatizado, seja estacionário ou dinâmico, na industria química ou em sistemas robóticos,é imprescindível o emprego de um controlador baseado em modelo adequado do processo, e alimentado com medições confiáveis das variáveis de estado de interesse (Freire et al., 2008).Os dados de um processo são obtidos através de instrumentos físicos e rotinas de medicão de precisão finita. Em geral, erros de medição podem ser categorizados em duas classes (Benqlilou, 2004):1. Erros aleatórios: devidos a variações ou distúrbios de natureza não controlada. Ex.: ruído. São considerados independentes e com distribuição normal de média zero;2. Erros não aleatórios ou grosseiros: são gerados por eventos não aleatórios, podendo estar relacionados com a medição (mal funcionamento dos instrumentos, por exemplo) ou com o processo (vazamentos, perdas, modelos inadequados ou imprecisos, etc.).O emprego de dados corrompidos pode comprometer a atuação do controle do processo, podendo levar uma planta a operar num ponto subotimo ou inseguro, levar a perda de especifica-çã o de produtos, poluição ambiental, perdas financeiras ou altos custos de operação (Morad et al., 2005).A chamada reconci...

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“…In their work, two deterministic global optimization methods are introduced for the parameter estimation of models that involve differential algebraic systems. Parameter estimation in dynamic models has been studied and discussed by several workers (Tjoa andBiegler,1991, Albuquerque andBiegler, 1996;Arora andBiegler, 2001, Neumann et al, 2007) Vassiliadis et al 's (1994) control vector parameterization method in the same direction, although carries out the optimization in the space of decision variables, uses Lagrange polynomials for expressing control variables and again converts the problem into a finite dimensional NLP with added complexity in the algorithm.…”

Section: Introductionmentioning

confidence: 99%

A software for parameter estimation in dynamic models

Yüceer

Atasoy

Berber

2008

Braz. J. Chem. Eng.

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-A common problem in dynamic systems is to determine parameters in an equation used to represent experimental data. The goal is to determine the values of model parameters that provide the best fit to measured data, generally based on some type of least squares or maximum likelihood criterion. In the most general case, this requires the solution of a nonlinear and frequently non-convex optimization problem. Some of the available software lack in generality, while others do not provide ease of use. A user-interactive parameter estimation software was needed for identifying kinetic parameters. In this work we developed an integration based optimization approach to provide a solution to such problems. For easy implementation of the technique, a parameter estimation software (PARES) has been developed in MATLAB environment. When tested with extensive example problems from literature, the suggested approach is proven to provide good agreement between predicted and observed data within relatively less computing time and iterations.

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Data reconciliation and gross‐error detection for dynamic systems

Abstract: Gross-error detection plays a vital role in parameter estimation

Cited by 173 publications

References 21 publications

A Fault Detection and Data Reconciliation Algorithm in Technical Processes with the Help of Haar Wavelets Packets

A Fault Detection and Data Reconciliation Algorithm in Technical Processes with the Help of Haar Wavelets Packets

Análise de técnicas de reconciliação de dados aplicadas a um sistema vaso separador

A software for parameter estimation in dynamic models

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