Fault diagnosis by refining the parameter uncertainty space of nonlinear dynamic systems

This paper deals with fault detection and isolation problems for nonlinear dynamic systems. Both problems are stated as constraint satisfaction problems (CSP) and solved using consistency techniques. The main contribution is the isolation method based on consistency techniques and uncertainty space refining of interval parameters. The major advantage of this method is that the isolation speed is fast even taking into account uncertainty in parameters, measurements, and model errors. Interval calculations bring independence from the assumption of monotony considered by several approaches for fault isolation which are based on observers. An application to a well known alcoholic fermentation process model is presented

Accidentes de trabajo y enfermedades laborales de los mineros de socavón en Boyacá, Cundinamarca y Norte de Santander

RESUMEN. Introducción: la minería a cielo abierto y la subterránea, presentan altas cifras de lesiones asociadas a esta industria a nivel internacional. Países como Australia, algunos de Europa y Estados Unidos tienen avances en seguridad minera, tanto en lesiones fatales como no mortales; sin embargo, otros países no muestran el mismo desarrollo, ejemplo de ello son algunos países de África, China y países de Suramérica. Colombia, muestra un paupérrimo avance en seguridad minera, agravado por ausencia de registros de calidad para establecer políticas en salud y seguridad minera. Objetivo: describir los accidentes de trabajo (AT) y enfermedades laborales (EL) de dichos trabajadores y sus relaciones con tiempo de exposición y oficio. Metodología: estudio transversal con 476 trabajadores del el sector de minería. Se indago sobre los AT y EL de los mineros de socavón en los departamentos de Boyacá, Cundinamarca y Norte de Santander. Se realizó análisis estadístico con medidas de tendencia central y dispersión, estimación de prevalencia de AT y EL y pruebas de asociación Chi-cuadrado para identificar factores relacionados con las variables. Para las estimaciones de parámetros se empleó un nivel de confianza del 95% y las pruebas de asociación un nivel α de 0,05. Resultados: La edad en años de los trabajadores varió entre 20 y 76 años con una media general de 43 ± 10. La antigüedad laboral en años varió entre 10 y 57 años con una media general de 19,3±9,1. Los trabajadores con mayor promedio de antigüedad laboral fueron los de Cundinamarca (valor_p< 0.000). La incidencia de AT fue de 52,3%, IC (95% 47,7% – 56,9%) en los tres departamentos, siendo mayor en Boyacá. Las regiones anatómicas más comprometidas fueron miembros inferiores 32,2%, miembros superiores 26,9%, la cabeza y espalda con 9,9% respectivamente. La enfermedad laboral que más se diagnosticó, fue hernia de disco. Conclusiones: Este estudio muestra la magnitud del problema de la accidentalidad observada en los tres departamentos; la distribución de los accidentes en el sector minero, según la región anatómica, el tipo de lesión y su agente causal, esto será insumo para ayudar a la elaboración de políticas públicas, a nivel empresarial, de las Administradoras de Riesgos Laborales (ARL) y otros actores del Sistema de gestión de la Seguridad y Salud en el Trabajo (SGSST). Palabras clave: minería, exposición profesional, accidentes de trabajo, enfermedad laboral, Colombia.

Quantification of the bond-angle dispersion by Raman spectroscopy and the strain energy of amorphous silicon

A thorough critical analysis of the theoretical relationships between the bond-angle dispersion in a-Si, Δθ, and the width of the transverse optical Raman peak, Γ, is presented. It is shown that the discrepancies between them are drastically reduced when unified definitions for Δθ and Γ are used. This reduced dispersion in the predicted values of Δθ together with the broad agreement with the scarce direct determinations of Δθ is then used to analyze the strain energy in partially relaxed pure a-Si. It is concluded that defect annihilation does not contribute appreciably to the reduction of the a-Si energy during structural relaxation. In contrast, it can account for half of the crystallization energy, which can be as low as 7 kJ/mol in defect-free a-Si

Anisotropic dispersion, space competition, and the slowdown of the Neolithic transition

The front speed of the Neolithic (farmer) spread in Europe decreased as it reached Northern latitudes, where the Mesolithic (huntergatherer) population density was higher. Here, we describe a reaction diffusion model with (i) an anisotropic dispersion kernel depending on the Mesolithic population density gradient and (ii) a modified population growth equation. Both effects are related to the space available for the Neolithic population. The model is able to explain the slowdown of the Neolithic front as observed from archaeological data

Dispersion Experiments in Central London: The 2007 DAPPLE project

In the event of a release of toxic gas in the center of London, the emergency services would need to determine quickly the extent of the area contaminated. The transport of pollutants by turbulent flow within the complex street and building architecture of cities is not straightforward, and we might wonder whether it is at all possible to make a scientifically-reasoned decision. Here we describe recent progress from a major UK project, ‘Dispersion of Air Pollution and its Penetration into the Local Environment’ (DAPPLE, www.dapple.org.uk). In DAPPLE, we focus on the movement of airborne pollutants in cities by developing a greater understanding of atmospheric flow and dispersion within urban street networks. In particular, we carried out full-scale dispersion experiments in central London (UK) during 2003, 2004, 2007, and 2008 to address the extent of the dispersion of tracers following their release at street level. These measurements complemented previous studies because (i) our focus was on dispersion within the first kilometer from the source, when most of the material was expected to remain within the street network rather than being mixed into the boundary layer aloft, (ii) measurements were made under a wide variety of meteorological conditions, and (iii) central London represents a European, rather than North American, city geometry. Interpretation of the results from the full-scale experiments was supported by extensive numerical and wind tunnel modeling, which allowed more detailed analysis under idealized and controlled conditions. In this article, we review the full-scale DAPPLE methodologies and show early results from the analysis of the 2007 field campaign data.

Variational data assimilation for parameter estimation: application to a simple morphodynamic model

Data assimilation is a sophisticated mathematical technique for combining observational data with model predictions to produce state and parameter estimates that most accurately approximate the current and future states of the true system. The technique is commonly used in atmospheric and oceanic modelling, combining empirical observations with model predictions to produce more accurate and well-calibrated forecasts. Here, we consider a novel application within a coastal environment and describe how the method can also be used to deliver improved estimates of uncertain morphodynamic model parameters. This is achieved using a technique known as state augmentation. Earlier applications of state augmentation have typically employed the 4D-Var, Kalman filter or ensemble Kalman filter assimilation schemes. Our new method is based on a computationally inexpensive 3D-Var scheme, where the specification of the error covariance matrices is crucial for success. A simple 1D model of bed-form propagation is used to demonstrate the method. The scheme is capable of recovering near-perfect parameter values and, therefore, improves the capability of our model to predict future bathymetry. Such positive results suggest the potential for application to more complex morphodynamic models.

Short-range urban dispersion experiments using fixed and moving sources

Four perfluorocarbon tracer dispersion experiments were carried out in central London, United Kingdom in 2004. These experiments were supplementary to the dispersion of air pollution and penetration into the local environment (DAPPLE) campaign and consisted of ground level releases, roof level releases and mobile releases; the latter are believed to be the first such experiments to be undertaken. A detailed description of the experiments including release, sampling, analysis and wind observations is given. The characteristics of dispersion from the fixed and mobile sources are discussed and contrasted, in particular, the decay in concentration levels away from the source location and the additional variability that results from the non-uniformity of vehicle speed. Copyright © 2009 Royal Meteorological Society

Parameter sensitivity and predictive uncertainty in a new water quality model, Q(2)

A new dynamic model of water quality, Q(2), has recently been developed, capable of simulating large branched river systems. This paper describes the application of a generalized sensitivity analysis (GSA) to Q(2) for single reaches of the River Thames in southern England. Focusing on the simulation of dissolved oxygen (DO) (since this may be regarded as a proxy for the overall health of a river); the GSA is used to identify key parameters controlling model behavior and provide a probabilistic procedure for model calibration. It is shown that, in the River Thames at least, it is more important to obtain high quality forcing functions than to obtain improved parameter estimates once approximate values have been estimated. Furthermore, there is a need to ensure reasonable simulation of a range of water quality determinands, since a focus only on DO increases predictive uncertainty in the DO simulations. The Q(2) model has been applied here to the River Thames, but it has a broad utility for evaluating other systems in Europe and around the world.