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

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

Dynamic diagnosis based on interval analytical redundancy relations and signs of the symptoms

A model-based approach for fault diagnosis is proposed, where the fault detection is based on checking the consistencyof the Analytical Redundancy Relations (ARRs) using an interval tool. The tool takes into account the uncertainty in theparameters and the measurements using intervals. Faults are explicitly included in the model, which allows for the exploitation of additional information. This information is obtained from partial derivatives computed from the ARRs. The signs in the residuals are used to prune the candidate space when performing the fault diagnosis task. The method is illustrated using a two-tank example, in which these aspects are shown to have an impact on the diagnosis and fault discrimination, since the proposed method goes beyond the structural methods

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

Desenvolupament d'un node sensor sense fils autoalimentat. Mòdul piezo-magnètic

En aquest projecte es pretén implementar un dispositiu capaç de ser auto-suficient i no dependre de cap tipus de pila, bateria o fil elèctric que l’abasteixi d’energia elèctrica. El dispositiu recol·lectarà la energia magnètica generada per la corrent elèctrica a un fil i la transformarà en energia elèctrica, que serà emmagatzemada per el seu posterior ús. A demès, aquest projecte s’ha desenvolupat en col·laboració amb un segon projecte, dintre del qual s’implementarà una xarxa de sensors, mitjançant el protocol MIWI. Aquest projecte es divideix en tres grans blocs. El primer bloc del projecte serà una introducció teòrica de tots els coneixements relacionats amb el concepte d’energy harvesting i els mecanismes físic implicats. Al segon bloc podrem veure com s’han realitzat els càlculs, simulacions i posada en marxa, dels diferents elements que formaran el dispositiu recol·lector d’energia. Per últim en el tercer bloc veurem el prototip ja implementat. Es valoraran els resultats obtinguts, i es veuran els temps que necessitarà per alimentar al microcontrolador.

Resiliència i èxit escolar en I'alumnat de secundària de procedència estrangera: diagnòstic i línies d'intervenció

El període de I'Educació Secundaria constitueix una etapa de vulnerabilitat acadèmica per la població immigrant. El nombre d'abandonaments és molt elevat segons diversos informes locals, nacionals i internacionals. La recerca treballa sobre la hipòtesi que I'alumnat de procedència estrangera que supera la transició de risc entre I'Educació Secundària Obligatoria (ESO) i la Postobligatòria (PO) podria caracteritzar-se segons el concepte de resiliència. I així analitzar i valorar els mecanismes resilients que poden donar llum sobre com aconseguir que processos, a priori, qualificats com a problemàtics o dificultosos per aquests grups degut a la seva situació de major vulnerabilitat esdevinguin una xarxa protectora que afavoreixi trajectòries d'èxit escolar. L'estudi s'ha desenvolupat de manera longitudinal durant un curs fent el seguiment d'una cohort de 94 estudiants matriculats al darrer curs de la ES0 en la seva incorporació als estudis postobligatoris. La mostra ha estat ubicada en quatre Instituts del Barcelonès i el Maresme. Els joves pertanyien a 19 països diferents amb edats entre 15 i 18 anys amb una proporció similar de sexe femení i masculí. Per a la caracterització d'aquests estudiants en les diverses variables rellevants per I'estudi s'han utilitzat diversos Instruments de recollida de dades de tipus quantitatiu: qüestionari general, escala de centre, escala d'esdeveniments vitals i escala de resiliència. El seguiment de la cohort als estudis de batxillerat, cicles formatius o altres opcions ha estat possible gracies al vincle i treball col.laboratiu amb els Instituts que han facilitat les dades de seguiment quan ha estat possible. Els resultats han posat de manifest que existeix una correlació significativa entre la permanència acadèmica i la resiliència. Per aprofundir en aquest fenomen s'han realitzat 14 entrevistes semi-estructurades a estudiants de diversos grups culturals amb puntuació elevada a I'escala de resiliència i amb un perfil continuista.

Personalització i desenvolupament sobre Liferay : Prototipus base d'aplicació web

Aquest treball es centra en l'estudi del programari del portal Liferay i en la creació d'un prototipus sobre aquest programari 100% Java. A partir d'un llistat d'objectius, el treball ha aprofundit en diferents tecnologies, generant diversos mòduls.

Disseny i implementació d'un framework de presentació per al desenvolupament d'aplicacions J2EE

El projecte de fi de carrera se centra en el disseny d'un marc de treball per a la capa de presentació pel desenvolupament d'aplicacions en tecnologia J2EE.

Association between GIS-based exposure to urban air pollution during pregnancy and birth weight in the INMA Sabadell Cohort

Background: There is growing evidence that traffic-related air pollution reduces birth weight. Improving exposure assessment is a key issue to advance in this research area.Objective: We investigated the effect of prenatal exposure to traffic-related air pollution via geographic information system (GIS) models on birth weight in 570 newborns from the INMA (Environment and Childhood) Sabadell cohort.Methods: We estimated pregnancy and trimester-specific exposures to nitrogen dioxide and aromatic hydrocarbons [benzene, toluene, ethylbenzene, m/p-xylene, and o-xylene (BTEX)] by using temporally adjusted land-use regression (LUR) models. We built models for NO2 and BTEX using four and three 1-week measurement campaigns, respectively, at 57 locations. We assessed the relationship between prenatal air pollution exposure and birth weight with linear regression models. We performed sensitivity analyses considering time spent at home and time spent in nonresidential outdoor environments during pregnancy.Results: In the overall cohort, neither NO2 nor BTEX exposure was significantly associated with birth weight in any of the exposure periods. When considering only women who spent < 2 hr/day in nonresidential outdoor environments, the estimated reductions in birth weight associated with an interquartile range increase in BTEX exposure levels were 77 g [95% confidence interval (CI), 7–146 g] and 102 g (95% CI, 28–176 g) for exposures during the whole pregnancy and the second trimester, respectively. The effects of NO2 exposure were less clear in this subset.Conclusions: The association of BTEX with reduced birth weight underscores the negative role of vehicle exhaust pollutants in reproductive health. Time–activity patterns during pregnancy complement GIS-based models in exposure assessment.