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Dive into the research topics where E. Alcorta Garcia is active.

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Featured researches published by E. Alcorta Garcia.


Control Engineering Practice | 1997

Deterministic nonlinear observer-based approaches to fault diagnosis: A survey

E. Alcorta Garcia; P.M. Frank

Abstract This paper gives a review of the principal observer-based fault diagnosis approaches for nonlinear systems. Some schemes extending the well-known diagnosis methods for linear systems to the nonlinear case are considered. The robustness of these schemes in presence of unknown inputs is discussed. Similarities between the approaches considered are pointed out also. The survey is concluded with a description of some open problems.


Mathematics and Computers in Simulation | 2000

Modelling for fault detection and isolation versus modelling for control

P.M. Frank; E. Alcorta Garcia; Birgit Köppen-Seliger

The goal of this paper is to emphasize both the particularities of models needed for model-based fault detection and isolation (FDI) and the differences with respect to the models used in control. Of special interest is the question of complexity. This depends basically on the given situation such as the kind of plant, the kind and number of faults to be detected, the demands for fault isolation, robustness and the measurements available. However, in contrast to the wide-spread opinion that models for FDI have always to be more complex than those for control, the paper shows that diagnostic models for controllable and observable plants comprise only a partial description of the input/output model and are therefore less complex than those for control. This issue is discussed in terms of different model-based FDI approaches — analytical, data- and knowledge-based. As for the analytical approaches the necessary order of the diagnostic model is that of the transfer operator from the fault vector to the system output.


Mathematical and Computer Modelling of Dynamical Systems | 2001

Modelling for Fault Detection and Isolation versus Modelling for Control

P.M. Frank; E. Alcorta Garcia; Birgit Köppen-Seliger

The main purpose of this paper is to emphasize the particularities of models needed for model-based fault detection and isolation (FDI) in contrast to the models used for control. Of special interest is the question of complexity of the model, which is of great importance for the practical implementation. This, of course, depends basically on the given situation such as the kind of plant, the measurements, the kind and number of faults to be detected and the demands for fault isolation and robustness. However, the paper shows that diagnostic models, in contrast to the wide-spread opinion that those have always to be more complex than the functional models for control, may be even less complex, because they are restricted to only those parts of the system in which the faults occur. The issue of model complexity is discussed in terms of different model-based FDI approaches analytical, knowledge-based and data-based. The ideas are illustrated in a case study, where several types of model-based FDI techniques are compared with the same plant, the amira three tank system.


american control conference | 1999

A novel design of structured observer-based residuals for FDI

E. Alcorta Garcia; P.M. Frank

An approach for the design of structured residuals for fault detection and isolation is presented. Different to the more traditional observer schemes, the proposed approach requires only a reduced number of observers to the generation of a set of structured residuals. In the most favorable case only one observer is required and the detection and isolation of a set of faults can be done so like using a bank of observers. An interesting property of the proposed approach is the reduced online requirements for the implementation. The results are shown on an example.


american control conference | 1998

Nonlinear decoupling approach to fault isolation in linear systems

E. Alcorta Garcia; Ralf Seliger; P.M. Frank

The problem of fault isolation in linear systems is considered. Based on a novel fault representation (multiplicative-like) and on a nonlinear decoupling transformation similar to one used for nonlinear systems, it is shown how the fault isolability can be improved. A further advantage of this approach is that it allows the application of observer-based methods to multiplicative fault representations. The price to be paid is the requirement of a nonlinear decoupling transformation as well as a nonlinear residual generation. Existence conditions as well as a design procedure are provided. An example is used to show the application of the above ideas.


Control Engineering Practice | 1995

A frequency domain approach to residual generation for the industrial actuator benchmark

E. Alcorta Garcia; B. Köppen-Seliger; P.M. Frank

Abstract This paper presents an application of a frequency domain approach to fault detection for the electro-mechanical test facility. An outline of the frequency domain design method is provided. The frequency domain residual generation is designed based on a linear model, and then tested on the various data sequences as given in the overview paper. Results of simulations, as well as a discussion of the methods capability, are also given.


IFAC Proceedings Volumes | 1998

What is Specific for the Modelling in Fault Detection and Isolation

E. Alcorta Garcia; P.M. Frank

Abstract In this note some reflexions about the differences between the models used for control and for fault detection and isolation (FDI) are presented. The first part is concerning with the analysis of residual generators based on three different approaches. As a result, the dependence of the different residual generators on the transfer function from the fault to the output of the considered system is established. Consequences of this dependence are also pointed out. Secondly, based on three examples, it is shown that in some cased the models used for FDI are not useful for control purposes and vice versa.


IFAC Proceedings Volumes | 1997

Mixed Approach to Fault Diagnosis in Linear Systems

E. Alcorta Garcia; P.M. Frank

Abstract In this paper an approach to the detection and isolation of faults in linear time invariant systems is presented- Based on state and parameter estimation two residual generators are defined. The first is an observer-based residual which is used to the detection of faults and it is given in a parametrised form. The second one is based on parameter estimation and it is used to solve the fault isolation problem. The estimator take advantage of the structure of the parametrised residual. As a result, advantages of both approaches could be added. With the joint utilization of parameter estimation and observers to the generation of residuals, the existing fault diagnosis approaches can be improved


IFAC Proceedings Volumes | 1994

Frequency Domain Appoach to Residual Generation at the Industrial Actuator Benchmark Test

E. Alcorta Garcia; B. Köppen-Seliger; P.M. Frank

Abstract This paper presents an application of the fault detection method in the frequency domain to the joint benchmark study at an electro-mechanical test facility. An outline of the frequency domain design method to fault diagnosis is provided. The frequency domain residual generation and evaluation is designed based on a linear model and then tested on the data sequences from different nonlinear models. Results of simulations as well as a discussion of the method’s ability are also given.


Lecture Notes in Control and Information Sciences | 1999

Nonlinear observers for fault detection and isolation

P.M. Frank; G. Schrier; E. Alcorta Garcia

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P.M. Frank

University of Duisburg

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G. Schrier

University of Duisburg

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H.-G. Schulz

University of Duisburg-Essen

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Z. Han

University of Duisburg

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