Robust fault detection using consistency techniques for uncertainty handling

Often practical performance of analytical redundancy for fault detection and diagnosis is decreased by uncertainties prevailing not only in the system model, but also in the measurements. In this paper, the problem of fault detection is stated as a constraint satisfaction problem over continuous domains with a big number of variables and constraints. This problem can be solved using modal interval analysis and consistency techniques. Consistency techniques are then shown to be particularly efficient to check the consistency of the analytical redundancy relations (ARRs), dealing with uncertain measurements and parameters. Through the work presented in this paper, it can be observed that consistency techniques can be used to increase the performance of a robust fault detection tool, which is based on interval arithmetic. The proposed method is illustrated using a nonlinear dynamic model of a hydraulic system

Constraint satisfaction techniques under uncertain conditions for fault diagnosis in nonlinear dynamic systems

The speed of fault isolation is crucial for the design and reconfiguration of fault tolerant control (FTC). In this paper the fault isolation problem is stated as a constraint satisfaction problem (CSP) and solved using constraint propagation techniques. The proposed method is based on constraint satisfaction techniques and uncertainty space refining of interval parameters. In comparison with other approaches based on adaptive observers, the major advantage of the presented method is that the isolation speed is fast even taking into account uncertainty in parameters, measurements and model errors and without the monotonicity assumption. In order to illustrate the proposed approach, a case study of a nonlinear dynamic system is presented

Analysis and evaluation of techniques for the extraction of classes in the ontology learning process

This paper analyzes and evaluates, in the context of Ontology learning, some techniques to identify and extract candidate terms to classes of a taxonomy. Besides, this work points out some inconsistencies that may be occurring in the preprocessing of text corpus, and proposes techniques to obtain good terms candidate to classes of a taxonomy.

Improving QPF by blending techniques at the Meteorological Service of Catalonia

The current operational very short-term and short-term quantitative precipitation forecast (QPF) at the Meteorological Service of Catalonia (SMC) is made by three different methodologies: Advection of the radar reflectivity field (ADV), Identification, tracking and forecasting of convective structures (CST) and numerical weather prediction (NWP) models using observational data assimilation (radar, satellite, etc.). These precipitation forecasts have different characteristics, lead time and spatial resolutions. The objective of this study is to combine these methods in order to obtain a single and optimized QPF at each lead time. This combination (blending) of the radar forecast (ADV and CST) and precipitation forecast from NWP model is carried out by means of different methodologies according to the prediction horizon. Firstly, in order to take advantage of the rainfall location and intensity from radar observations, a phase correction technique is applied to the NWP output to derive an additional corrected forecast (MCO). To select the best precipitation estimation in the first and second hour (t+1 h and t+2 h), the information from radar advection (ADV) and the corrected outputs from the model (MCO) are mixed by using different weights, which vary dynamically, according to indexes that quantify the quality of these predictions. This procedure has the ability to integrate the skill of rainfall location and patterns that are given by the advection of radar reflectivity field with the capacity of generating new precipitation areas from the NWP models. From the third hour (t+3 h), as radar-based forecasting has generally low skills, only the quantitative precipitation forecast from model is used. This blending of different sources of prediction is verified for different types of episodes (convective, moderately convective and stratiform) to obtain a robust methodology for implementing it in an operational and dynamic way.

Topics, techniques and applications in urban and regional science in the nineties: a bibliometric analysis

The current state of regional and urban science has been much discussed and a number of studies have speculated on possible future trends in the development of the discipline. However, there has been little empirical analysis of current publication patterns in regional and urban journals. This paper studies the kinds of topics, techniques and data used in articles published in nine top international journals during the 1990s with the aim of identifying current trends in this research field

Topics, techniques and applications in urban and regional science in the nineties: a bibliometric analysis

The current state of regional and urban science has been much discussed and a number of studies have speculated on possible future trends in the development of the discipline. However, there has been little empirical analysis of current publication patterns in regional and urban journals. This paper studies the kinds of topics, techniques and data used in articles published in nine top international journals during the 1990s with the aim of identifying current trends in this research field

Design of Optical Systems With Extended Depth of Field: an Educational Approach to Wavefront Coding Techniques

A practical activity designed to introduce wavefront coding techniques as a method to extend the depth of field in optical systems is presented. The activity is suitable for advanced undergraduate students since it combines different topics in optical engineering such as optical system design, aberration theory, Fourier optics, and digital image processing. This paper provides the theoretical background and technical information for performing the experiment. The proposed activity requires students able to develop a wide range of skills since they are expected to deal with optical components, including spatial light modulators, and develop scripts to perform some calculations.

Surface characterization techniques for determining the root-mean-square roughness and power spectral densities of optical components

Surface topography and light scattering were measured on 15 samples ranging from those having smooth surfaces to others with ground surfaces. The measurement techniques included an atomic force microscope, mechanical and optical profilers, confocal laser scanning microscope, angle-resolved scattering, and total scattering. The samples included polished and ground fused silica, silicon carbide, sapphire, electroplated gold, and diamond-turned brass. The measurement instruments and techniques had different surface spatial wavelength band limits, so the measured roughnesses were not directly comparable. Two-dimensional power spectral density (PSD) functions were calculated from the digitized measurement data, and we obtained rms roughnesses by integrating areas under the PSD curves between fixed upper and lower band limits. In this way, roughnesses measured with different instruments and techniques could be directly compared. Although smaller differences between measurement techniques remained in the calculated roughnesses, these could be explained mostly by surface topographical features such as isolated particles that affected the instruments in different ways.

Metal complexation by electroanalytical techniques: hard- and soft-modelling approaches

En la investigació de la complexació de metalls mitjançant eines electroanalítiques són emprades dues aproximacions generals. La primera, anomenada de modelatge dur (hardmodelling), es basa en la formulació d'un model fisicoquímic conjunt per als processos electròdic i de complexació i en la resolució analítica o numèrica del model. Posteriorment, l'ajust dels paràmetres del model a les dades experimentals donarà la informació desitjada sobre el procés de complexació. La segona aproximació, anomenada de modelatge tou (soft-modelling), es basa en la identificació d'un model de complexació a partir de l'anàlisi numèrica i estadística de les dades, sense cap assumpció prèvia d'un model. Aquesta aproximació, que ha estat extensivament emprada amb dades espectroscòpiques, ho ha estat poquíssim amb dades electroquímiques. En aquest article tractem de la formulació d'un model (hard-modelling) per a la complexació de metalls en sistemes amb mescles de lligands, incloent-hi lligands macromoleculars, i de l'aplicació d

Choosing among techniques for quantifying single-case intervention effectiveness

If single case experimental designs are to be used to establish guidelines for evidence-based interventions in clinical and educational settings, numerical values that reflect treatment effect sizes are required. The present study compares four recently developed procedures for quantifying the magnitude of intervention effect using data with known characteristics. Monte Carlo methods were used to generate AB designs data with potential confounding variables (serial dependence, linear and curvilinear trend, and heteroscedasticity between phases) and two types of treatment effect (level and slope change). The results suggest that data features are important for choosing the appropriate procedure and, thus, inspecting the graphed data visually is a necessary initial stage. In the presence of serial dependence or a change in data variability, the Nonoverlap of All Pairs (NAP) and the Slope and Level Change (SLC) were the only techniques of the four examined that performed adequately. Introducing a data correction step in NAP renders it unaffected by linear trend, as is also the case for the Percentage of Nonoverlapping Corrected Data and SLC. The performance of these techniques indicates that professionals" judgments concerning treatment effectiveness can be readily complemented by both visual and statistical analyses. A flowchart to guide selection of techniques according to the data characteristics identified by visual inspection is provided.

Pautas de conducta frente a los pacientes bajo tratamiento anticoagulante en la clínica dental.

Nuestro trabajo pretende dar unas ideas básicas para el manejo de pacientes sometidos a tratamiento anticoagulante dando a conocer las posibles pautas a seguir respecto a su medicación: mantener intacta la terapia anticoagulante, modificar la terapia anticoagulante o realizar tratamiento combinado de heparina con anticoagulantes orales. La decisión deberá tomarse conjuntamente con el hematólogo responsable del paciente valorando cada caso según la morbilidad intrínseca de la intervención, el riesgo de tromboembolismo en función de la patología de base que presente el paciente y el grado de coagulación determinado mediante estudios de laboratorio (tiempo de protrombina e índice de trombotest).

Liberación de mercurio por parte de las obturaciones de amalgama dental: tipo, cantidad, método de determinación y posibles efectos adversos

Las obturaciones dentales de amalgama constituyen la fuente principal de exposición permanente de bajo nivel al vapor de mercurio (Hg°) y al mercurio inorgánico (Hg(II)) para la población general. La dosis de mercurio absorbido procedente de la amalgama es de 2.7 ¿g/día/persona para una cantidad promedio de 7.4 obturaciones. Si esta cantidad consistiera enteramente en mercurio inorgánico (Hg(II)), estaría muy por debajo de la cifra de 15 ¿g/día para una persona de 65 kg que la OMS considera como ingesta tolerable de mercurio inorgánico. En el caso de una exposición permanente a la misma cantidad, pero de vapor de mercurio (Hg0), se obtendría una concentración de 0.18 mg/m3 que puede compararse con la concentración de referencia de la EPA de 0.3 mg/m3 o con el nivel de riesgo mínimo de la ATSDR de 0.2 mg/m3. Varios estudios clínicos longitudinales y aleatorizados han evaluado la relación entre la concentración urinaria de mercurio y la exposición al mercurio procedente de las obturaciones dentales de amalgama en niños, particularmente vulnerables al Hg0, así como los posibles efectos neurológicos de tal exposición. La concentración promedio de mercurio en orina en los niños tratados con amalgama, con un promedio de 18,7 superficies obturadas, aumentó hasta un pico de 3.2 ¿g/L a los 2 años de iniciado el tratamiento y a los 7 años de seguimiento había descendido hasta los niveles basales y no se detectó ninguna alteración en las distintas exploraciones de monitorización neuropsicológica. De la misma manera, diversas investigaciones epidemiológicas no han aportado ninguna evidencia del papel de la amalgama en la posible causa o exacerbación de trastornos degenerativos como la esclerosis lateral amiotrófica, la enfermedad de Alzheimer, la esclerosis múltiple o el Parkinson. La extracción de las obturaciones de amalgama produce un aumento transitorio de los niveles de mercurio en sangre inmediatamente después de extraer las obturaciones de amalgama, pero de pequeña magnitud y que se normaliza a los 100 días, por lo que el efecto del dique de goma tiene una relevancia toxicológica menor. La conclusión de esta revisión es que la amalgama dental continúa siendo un excelente material de obturación.

Riesgo de transmisión de enfermedades infecciosas en la clínica dental

Se presenta en este artículo una revisión del riesgo de transmisión de enfermedades infecciosas en la clínica dental. Las hepatitis víricas, en especial la hepatitis B y la C, la infección por el virus de la inmunodeficiencia humana, la tuberculosis, y otras enfermedades infecciosas pueden ser potencialmente transmitidas en el ejercicio de la profesión, tanto a los pacientes como a los profesionales. El conocimiento de la probabilidad de transmisión y sus características son la base sobre la que desarrollarán las medidas preventivas de control de infección que intentan evitar o por lo menos minimizar la probabilidad de adquirir estas enfermedades en el ámbito laboral.