Enhancing fault management performance of two-step QoS routing algorithms in GMPLS networks

In this paper a novel methodology aimed at minimizing the probability of network failure and the failure impact (in terms of QoS degradation) while optimizing the resource consumption is introduced. A detailed study of MPLS recovery techniques and their GMPLS extensions are also presented. In this scenario, some features for reducing the failure impact and offering minimum failure probabilities at the same time are also analyzed. Novel two-step routing algorithms using this methodology are proposed. Results show that these methods offer high protection levels with optimal resource consumption

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

SQualTrack: A Tool for Robust Fault Detection

One of the techniques used to detect faults in dynamic systems is analytical redundancy. An important difficulty in applying this technique to real systems is dealing with the uncertainties associated with the system itself and with the measurements. In this paper, this uncertainty is taken into account by the use of intervals for the parameters of the model and for the measurements. The method that is proposed in this paper checks the consistency between the system's behavior, obtained from the measurements, and the model's behavior; if they are inconsistent, then there is a fault. The problem of detecting faults is stated as a quantified real constraint satisfaction problem, which can be solved using the modal interval analysis (MIA). MIA is used because it provides powerful tools to extend the calculations over real functions to intervals. To improve the results of the detection of the faults, the simultaneous use of several sliding time windows is proposed. The result of implementing this method is semiqualitative tracking (SQualTrack), a fault-detection tool that is robust in the sense that it does not generate false alarms, i.e., if there are false alarms, they indicate either that the interval model does not represent the system adequately or that the interval measurements do not represent the true values of the variables adequately. SQualTrack is currently being used to detect faults in real processes. Some of these applications using real data have been developed within the European project advanced decision support system for chemical/petrochemical manufacturing processes and are also described in this paper

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

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

Estimation of zero-sequence impedance of undergrounds cables for single-phase fault location in distribution systems with electric arc

This paper focus on the problem of locating single-phase faults in mixed distribution electric systems, with overhead lines and underground cables, using voltage and current measurements at the sending-end and sequence model of the network. Since calculating series impedance for underground cables is not as simple as in the case of overhead lines, the paper proposes a methodology to obtain an estimation of zero-sequence impedance of underground cables starting from previous single-faults occurred in the system, in which an electric arc occurred at the fault location. For this reason, the signal is previously pretreated to eliminate its peaks voltage and the analysis can be done working with a signal as close as a sinus wave as possible

Application for fault location in electrical power distribution systems

Fault location has been studied deeply for transmission lines due to its importance in power systems. Nowadays the problem of fault location on distribution systems is receiving special attention mainly because of the power quality regulations. In this context, this paper presents an application software developed in Matlabtrade that automatically calculates the location of a fault in a distribution power system, starting from voltages and currents measured at the line terminal and the model of the distribution power system data. The application is based on a N-ary tree structure, which is suitable to be used in this application due to the highly branched and the non- homogeneity nature of the distribution systems, and has been developed for single-phase, two-phase, two-phase-to-ground, and three-phase faults. The implemented application is tested by using fault data in a real electrical distribution power system

An Interval Intelligent-based Approach for Fault Detection and Modelling

Not considered in the analytical model of the plant, uncertainties always dramatically decrease the performance of the fault detection task in the practice. To cope better with this prevalent problem, in this paper we develop a methodology using Modal Interval Analysis which takes into account those uncertainties in the plant model. A fault detection method is developed based on this model which is quite robust to uncertainty and results in no false alarm. As soon as a fault is detected, an ANFIS model is trained in online to capture the major behavior of the occurred fault which can be used for fault accommodation. The simulation results understandably demonstrate the capability of the proposed method for accomplishing both tasks appropriately

Climate change: a contemporary and geological perspective: introduction

This file describes the resouces to be made available through the Open Educational Resources 'C-change in GEES' project exploring the open licensing of climate change and sustainability resources in the Geography, Earth and Environmental Sciences.

Política exterior de Canadá en el ártico: entre la seguridad nacional y la prosperidad económica (2006-2011)

En el año 2010 el gobierno de Canadá pública su estrategia de política exterior hacia el Ártico, en la cual manifiesta que esta región es una de las principales prioridades del Gobierno de Stephen Harper en materia de política exterior. Así las cosas, a partir de la perspectiva teórica del realismo neoclásico la investigación se enfoca en analizar por qué la seguridad nacional y la prosperidad económica son los principales intereses de este Gobierno en la zona.

Oxford maths zone. Year 3. Lesson plans with answers.

Este programa ofrece una gama flexible de recursos para cubrir todas las necesidades para la enseñanza de las matemáticas. Establece un plan coherente asegurando que se cumplan todos los objetivos de la estrategia Nacional de Cálculo. Contiene una amplia gama de modernos, dinámicos recursos para hace fácil la gestión del aula y muestran a los alumnos cómo usar las matemáticas en el mundo real. Presenta una programación de una semana, para cada semana del año y proporciona el marco fundamental en torno al cual se basan los otros recursos para proporcionar un conjunto coherente. Tiene estos rasgos principales; actividades mentales; enseñanza interactiva con la clase; actividad compartida de resolución de problemas.

Oxford maths zone. Year 3. Copymasters.

Proporciona una amplia gama de recursos fotocopiables de apoyo para acompañar a los tres años de Oxford Mhats Zone. Las páginas se pueden reproducir por aquellos que prefieren ofrecer estas actividades en una base adecuada. La segunda sección ofrece hojas de estímulo para todas las unidades. La tercera sección ofrece fotocopiables que están vinculadas específicamente unidad por unidad. la cuarta sección se ofrecen fotocopiables, en general, que pueden utilizarse en cualquier momento. la quinta sección contiene un conjunto fotocopiable que proporcionan una simple introducción a cada página del libro básico para los niños que requieren apoyo adicional.

Oxford maths zone. Year 3. Core book.

Contiene una amplia gama de recursos destinados a enseñar a los niños cómo usar las matemáticas en el mundo real, su pertinencia y relevancia; también ofrece orientación sobre las principales actividades para cada uno de los niveles. Cumple con los requisitos del National Numeracy Strategy en cuanto a los conocimientos básicos de aritmética que proporciona y a toda la secuencia de material didáctico que le acompaña.

Geological and fossil evidence.

La historia de la Tierra y de las diferentes formas de vida sobre ella se pueden conocer mediante el estudio de las rocas, los estratos, los fósiles y los restos animales y humanos conservados. Al final del libro hay una pequeña bibliografía y direcciones de páginas web.