Orientador: Paulo Sollero / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica / Made available in DSpace on 2018-08-19T07:37:21Z (GMT). No. of bitstreams: 1 Panosso_GustavoBigolotti_M.pdf: 12522576 bytes, checksum: a2770608080caac37863b37dea341c66 (MD5) Previous issue date: 2011 / Resumo: O objetivo deste trabalho é realizar uma análise numérica dos critérios de falha para materiais compósitos laminados. Critérios de falha tradicionais, como os critérios de Tsai- Hill e Tsai-Wu, são estudados e comparados com critérios de falha mais recentes, baseados em fenômenos físicos, como os critérios de Puck e LaRC03. Dois envelopes de falha, Tensão Longitudinal pela Tensão Transversal e Tensão Transversal pela Tensão de Cisalhamento são implementados para cada um dos critérios estudados seguindo os moldes do World- Wide Failure Exercise (WWFE). Realiza-se também um estudo da variação da resistência longitudinal em função da orientação das fibras em laminados unidirecionais. Através do software comercial de elementos finitos ABAQUS, desenvolve-se uma rotina iterativa para se avaliar a falha em modelos laminados segundo as diferentes teorias de falha estudadas. O comportamento do material e seus respectivos modos de falha são investigados para cada caso. Uma discussão sobre as vantagens e desvantagens de cada critério e um parecer sobre qual teoria de falha se mostrou mais vantajosa é apresentada / Abstract: This work aims to perform a numerical analysis of failure criteria for composite laminated materials. Traditional failure criteria, such as the Tsai-Hill and Tsai-Wu, are studied and compared to recent failure criteria based on physical phenomenas, such as Puck and LaRC03 criteria. Two failure envelopes, Longitudinal Stress by Transverse Stress and Transverse Stress by Shearing Stress are implemented for each criterion in accordance with the World-Wide Failure Exercise (WWFE). It also presents a study of the longitudinal strength variation depending on the fiber orientation in unidirectional laminates. Through the commercial finite element software ABAQUS, a script is presented to evaluate the failure in laminated models due to the different failure theories studied. The material behavior and its respective failure modes are investigated for each case. A discussion of the advantages and disadvantages of each failure theory is also presented / Mestrado / Mecanica dos Sólidos e Projeto Mecanico / Mestre em Engenharia Mecânica

This research presents an analysis of the improvement in the performance of a class of fault tolerant multistage interconnection networks. In the network discussed here, fault tolerance is achieved by providing multiple redundant paths between the source and destination. The extra paths are obtained by providing redundant links between switching elements within a stave (intra-stage links), thereby increasing the switching element complexity. The techniques used in the construction of this network, its properties, advantages, and disadvantages are discussed. While early studies focused their effort in analyzing the fault tolerant characteristics of the network and the performance in a circuit switched environment, this investigation complements the previous work by examining fie performance of a packet switched network. The reasons for the choice of the architecture that include factors like hardware complexity, cost and simplicity of control algorithm are analyzed. The study concentrates on improving the run-time performance of the fault tolerant network. by using these multiple paths not only in the presence of a fault, but also in a fault-free environment. The throughput of the packet switched network in the presence of a fault, congestion and when fault free are analyzed. A description of the investigation, assumptions and factors used for the study, a cost analysis, and the results of the simulation analyses is included. / Master of Science

An overview of an existing hierarchical reconfiguration scheme for a fault-tolerant two-dimensional cellular architecture is presented, wherein an array of finite state machine cells controls the processing and switching elements. This allows the array to either reconfigure in the presence of faults, or to perform different processing functions. Since the control mechanism is distributed, the system is not subject to single-point "hard core" failures, as in the case of a global control mechanism. Unlike other fault-tolerant systems, the proposed method does not assume the existence of components which never fail. The processing elements in the array are logically connected in a mesh pattern, and are provided with additional physical connections to other cells. A local reconfiguration scheme allows faulty cells to be bypassed via these additional connections, so that the logical mesh can be restored. This technique allows the array to quickly reconfigure in the presence of up to triple faults. When local reconfiguration fails, the array can still reconfigure by using a global reconfiguration scheme, in which the functional part of the array relocates itself to a faultfree area. The process is "global" in the sense that the entire functional part of the array is involved in the process, but the mechanism to accomplish this is still distributed in nature. With the framework of the system established, the results of this research are presented. The hardware complexities of the existing global reconfiguration scheme are analyzed, and compared with the complexities of previous work in this area. A distributed diagnosis algorithm is also developed, which works in conjunction with the local reconfiguration mechanism to quickly detect and isolate faults in the array. Using these results, the foundations are laid for a totally self-checking implementation of the control cells, which allows online concurrent fault detection in the array. / Master of Science

A large number of errors in digital systems are due to the presence of transient faults. This is especially true of microprocessor-based systems working in a radiation environment that experience transient faults due to single event upsets. These upsets cause a temporary change in the state of the system without any permanent damage. Because of their random and non-recurring nature, transient faults are difficult to detect and isolate, hence they become a source of major concern, especially in critical real-time application areas. Concurrent detection of these errors is necessary for real-time operation. Most existing fault tolerance schemes either use redundancy to mask effects of transient faults or monitor the system for abnormal operations and then perform recovery operation. Although very effective, redundancy schemes incur substantial overhead that makes them unsuitable for small systems. Most monitoring schemes, on the other hand, only detect control flow errors. A new approach called Concurrent Processor Monitoring for on-line detection of transient faults is proposed that attempts to achieve high error coverage with small error detection latency. The concept of the execution profile of an instruction is defined and is used for detecting control flow and execution errors. To implement this scheme, a watchdog processor is designed for monitoring operation of the main processor. The effectiveness of this technique is demonstrated through computer simulations. / Ph. D.

La compétitivité des entreprises manufacturières dépend fortement de la productivité des machines etdes moyens de production. Pour garantir un haut niveau de productivité il est indispensable de minimiser lestemps d'arrêt dus aux fautes ou dysfonctionnements. Cela nécessite des méthodes efficaces pour détecter et isolerles fautes apparues dans un système (FDI). Dans cette thèse, une méthode FDI à base de modèles est proposée.La méthode est conçue pour la classe des systèmes à événements discrets industriels composés d’une bouclefermée du contrôleur et du processus. En comparant les comportements observés et attendus par le modèle, il estpossible de détecter et d’isoler des fautes. A la différence de la plupart des approches FDI des systèmes àévénements discrets, une méthode basée sur des modèles du comportement normal au lieu de modèles descomportements fautifs est proposée. Inspiré par le concept des résidus bien connu pour le diagnostic dessystèmes continus, une nouvelle approche pour l’isolation des fautes dans les systèmes à événements discrets aété développée. La clé pour l’application des méthodes FDI basées sur des modèles est d’avoir un modèle justedu système considéré. Comme une modélisation manuelle peut être très laborieuse et coûteuse pour dessystèmes à l’échelle industrielle, une approche d’identification pour les systèmes à événements discrets enboucle fermée est développée. Basée sur un algorithme connu pour l’identification des modèles monolithiques,une adaptation distribuée est proposée. Elle permet de traiter de grands systèmes comportant un haut degré deparallélisme. La base de cette approche est une décomposition du système en sous systèmes. Cettedécomposition est automatisée en utilisant un algorithme d’optimisation analysant le comportement observé dusystème. Les méthodes conçues dans cette thèse ont été mises en oeuvre sur une étude de cas et sur uneapplication d’échelle industrielle. / The competitiveness of manufacturing companies strongly depends on the productivity of machinesand production processes. To guarantee a high level of productivity, downtimes occurring due to faults have tobe kept as short as possible. This necessitates efficient fault detection and isolation (FDI) methods. In this work,a model-based FDI method for the widely used class of industrial closed-loop Discrete Event Systems isproposed. The considered systems consist of the closed-loop of plant and controller. Based on the comparison ofobserved and modeled system behavior, it is possible to detect and to isolate faults. Unlike most known methodsfor FDI in Discrete Event Systems, this work proposes working with a model of the fault-free behavior ratherthan working fault models. Inspired by the concept of residuals known from FDI in continuous systems, a newapproach for fault isolation based on fault-free Discrete Event System models is developed. The key of anymodel-based diagnosis method is to have an accurate model of the considered system. Since manual modelbuildingcan be very difficult for large industrial systems, an identification approach for this class of systems isintroduced. Based on an already existing monolithic identification algorithm, a distributed adaptation isdeveloped which allows treating large, concurrent systems. The key of the proposed approach is an automaticdecomposition of a given closed-loop Discrete Event System using an optimization approach which analyzesobserved system behavior. The methods developed in this thesis are applied to a mid-sized laboratory system andto an industrial winder to show their scalability.

by Chi-kwong Fong. / Thesis (M.Sc.)--Chinese University of Hong Kong, 1993. / Includes bibliographical references (leaves 30-[31]). / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Data Capture Subsystem --- p.7 / Chapter 3 --- Anomaly Detection Subsystem --- p.10 / Chapter 4 --- Descriptive Language Translation System --- p.14 / Chapter 5 --- Rule-based Analysis Subsystem --- p.20 / Chapter 6 --- Testing Results --- p.22 / Chapter 7 --- Summary --- p.27 / Bibliography --- p.30

by Arion Ko Kin Wa. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1997. / Includes bibliographical references (leaves 101-[106]). / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Overview --- p.1 / Chapter 1.2 --- Service Survivability Planning --- p.2 / Chapter 1.3 --- Categories of Outages --- p.3 / Chapter 1.4 --- Goals of Restoration --- p.4 / Chapter 1.5 --- Technology Impacts on Network Survivability --- p.5 / Chapter 1.6 --- Performance Models and Measures in Quantifying Network Sur- vivability --- p.6 / Chapter 1.7 --- Organization of Thesis --- p.6 / Chapter 2 --- Design and Implementation of A Survivable High-Speed Mul- timedia Network --- p.8 / Chapter 2.1 --- An Overview of CUM LAUDE NET --- p.8 / Chapter 2.2 --- The Network Architecture --- p.9 / Chapter 2.2.1 --- Architectural Overview --- p.9 / Chapter 2.2.2 --- Router-Node Design --- p.11 / Chapter 2.2.3 --- Buffer Allocation --- p.12 / Chapter 2.2.4 --- Buffer Transmission Priority --- p.14 / Chapter 2.2.5 --- Congestion Control --- p.15 / Chapter 2.3 --- Protocols --- p.16 / Chapter 2.3.1 --- Design Overview --- p.16 / Chapter 2.3.2 --- ACTA - The MAC Protocol --- p.17 / Chapter 2.3.3 --- Protocol Layering --- p.18 / Chapter 2.3.4 --- "Segment, Datagram and Packet Format" --- p.20 / Chapter 2.3.5 --- Fast Packet Routing --- p.22 / Chapter 2.3.6 --- Local Host NIU --- p.24 / Chapter 2.4 --- The Network Restoration Strategy --- p.25 / Chapter 2.4.1 --- The Dual-Ring Model and Assumptions --- p.26 / Chapter 2.4.2 --- Scenarios of Network Failure and Remedies --- p.26 / Chapter 2.4.3 --- Distributed Fault-Tolerant Algorithm --- p.26 / Chapter 2.4.4 --- Distributed Auto-Healing Algorithm --- p.28 / Chapter 2.4.5 --- The Network Management Signals --- p.31 / Chapter 2.5 --- Performance Evaluation --- p.32 / Chapter 2.5.1 --- Restoration Time --- p.32 / Chapter 2.5.2 --- Reliability Measures --- p.34 / Chapter 2.5.3 --- Network Availability During Restoration --- p.41 / Chapter 2.6 --- The Prototype --- p.42 / Chapter 2.7 --- Technical Problems Encountered --- p.45 / Chapter 2.8 --- Chapter Summary and Future Development --- p.46 / Chapter 3 --- A Simple Experimental Network Management Software - NET- MAN --- p.48 / Chapter 3.1 --- Introduction to NETMAN --- p.48 / Chapter 3.2 --- Network Management Basics --- p.49 / Chapter 3.2.1 --- The Level of Management Protocols --- p.49 / Chapter 3.2.2 --- Architecture Model --- p.51 / Chapter 3.2.3 --- TCP/IP Network Management Protocol Architecture --- p.53 / Chapter 3.2.4 --- A Standard Network Management Protocol On Internet - SNMP --- p.54 / Chapter 3.2.5 --- A Standard For Managed Information --- p.55 / Chapter 3.3 --- The CUM LAUDE Network Management Protocol Suite (CNMPS) --- p.56 / Chapter 3.3.1 --- The Architecture --- p.53 / Chapter 3.3.2 --- Goals of the CNMPS --- p.59 / Chapter 3.4 --- Highlights of NETMAN --- p.61 / Chapter 3.5 --- Functional Descriptions of NETMAN --- p.63 / Chapter 3.5.1 --- Topology Menu --- p.64 / Chapter 3.5.2 --- Fault Manager Menu --- p.65 / Chapter 3.5.3 --- Performance Meter Menu --- p.65 / Chapter 3.5.4 --- Gateway Utility Menu --- p.67 / Chapter 3.5.5 --- Tools Menu --- p.67 / Chapter 3.5.6 --- Help Menu --- p.68 / Chapter 3.6 --- Chapter Summary --- p.68 / Chapter 4 --- A Local Map Based (LMB) Self-Healing Scheme for Arbitrary Topology Networks --- p.70 / Chapter 4.1 --- Introduction --- p.79 / Chapter 4.2 --- An Overview of Existing DCS-Based Restoration Algorithms --- p.72 / Chapter 4.3 --- The Network Model and Assumptions --- p.74 / Chapter 4.4 --- Basics of the LMB Scheme --- p.75 / Chapter 4.4.1 --- Restoration Concepts --- p.75 / Chapter 4.4.2 --- Terminology --- p.76 / Chapter 4.4.3 --- Algorithm Parameters --- p.77 / Chapter 4.5 --- Performance Assessments --- p.78 / Chapter 4.6 --- The LMB Network Restoration Scheme --- p.80 / Chapter 4.6.1 --- Initialization - Local Map Building --- p.80 / Chapter 4.6.2 --- The LMB Restoration Messages Set --- p.81 / Chapter 4.6.3 --- Phase I - Local Map Update Phase --- p.81 / Chapter 4.6.4 --- Phase II - Update Acknowledgment Phase --- p.82 / Chapter 4.6.5 --- Phase III - Restoration and Confirmation Phase --- p.83 / Chapter 4.6.6 --- Phase IV - Cancellation Phase --- p.83 / Chapter 4.6.7 --- Re-Initialization --- p.84 / Chapter 4.6.8 --- Path Route Monitoring --- p.84 / Chapter 4.7 --- Performance Evaluation --- p.84 / Chapter 4.7.1 --- The Testbeds --- p.84 / Chapter 4.7.2 --- Simulation Results --- p.86 / Chapter 4.7.3 --- Storage Requirements --- p.89 / Chapter 4.8 --- The LMB Scheme on ATM and SONET environment --- p.92 / Chapter 4.9 --- Future Work --- p.94 / Chapter 4.10 --- Chapter Summary --- p.94 / Chapter 5 --- Conclusion and Future Work --- p.96 / Chapter 5.1 --- Conclusion --- p.95 / Chapter 5.2 --- Future Work --- p.99 / Bibliography --- p.101 / Chapter A --- Derivation of Communicative Probability --- p.107 / Chapter B --- List of Publications --- p.110

University of Macau / Faculty of Science and Technology / Department of Electromechanical Engineering

Optimum Sensor Localization/Selection in A Diagnostic/Prognostic Architecture Guangfan Zhang 107 Pages Directed by Dr. George J. Vachtsevanos This research addresses the problem of sensor localization/selection for fault diagnostic purposes in Prognostics and Health Management (PHM)/Condition-Based Maintenance (CBM) systems. The performance of PHM/CBM systems relies not only on the diagnostic/prognostic algorithms used, but also on the types, location, and number of sensors selected. Most of the research reported in the area of sensor localization/selection for fault diagnosis focuses on qualitative analysis and lacks a uniform figure of merit. Moreover, sensor localization/selection is mainly studied as an open-loop problem without considering the performance feedback from the on-line diagnostic/prognostic system. In this research, a novel approach for sensor localization/selection is proposed in an integrated diagnostic/prognostic architecture to achieve maximum diagnostic performance. First, a fault detectability metric is defined quantitatively. A novel graph-based approach, the Quantified-Directed Model, is called upon to model fault propagation in complex systems and an appropriate figure-of-merit is defined to maximize fault detectability and minimize the required number of sensors while achieving optimum performance. Secondly, the proposed sensor localization/selection strategy is integrated into a diagnostic/prognostic system architecture while exhibiting attributes of flexibility and scalability. Moreover, the performance is validated and verified in the integrated diagnostic/prognostic architecture, and the performance of the integrated diagnostic/prognostic architecture acts as useful feedback for further optimizing the sensors considered. The approach is tested and validated through a five-tank simulation system. This research has led to the following major contributions: ??generalized methodology for sensor localization/selection for fault diagnostic purposes. ??quantitative definition of fault detection ability of a sensor, a novel Quantified-Directed Model (QDG) method for fault propagation modeling purposes, and a generalized figure of merit to maximize fault detectability and minimize the required number of sensors while achieving optimum diagnostic performance at the system level. ??novel, integrated architecture for a diagnostic/prognostic system. ??lidation of the proposed sensor localization/selection approach in the integrated diagnostic/prognostic architecture.

This thesis presents an on-line particle-filtering-based framework for fault diagnosis and failure prognosis in nonlinear, non-Gaussian systems. The methodology assumes the definition of a set of fault indicators, which are appropriate for monitoring purposes, the availability of real-time process measurements, and the existence of empirical knowledge (or historical data) to characterize both nominal and abnormal operating conditions. The incorporation of particle-filtering (PF) techniques in the proposed scheme not only allows for the implementation of real time algorithms, but also provides a solid theoretical framework to handle the problem of fault detection and isolation (FDI), fault identification, and failure prognosis. Founded on the concept of sequential importance sampling (SIS) and Bayesian theory, PF approximates the conditional state probability distribution by a swarm of points called particles and a set of weights representing discrete probability masses. Particles can be easily generated and recursively updated in real time, given a nonlinear process dynamic model and a measurement model that relates the states of the system with the observed fault indicators. Two autonomous modules have been considered in this research. On one hand, the fault diagnosis module uses a hybrid state-space model of the plant and a particle-filtering algorithm to (1) calculate the probability of any given fault condition in real time, (2) estimate the probability density function (pdf) of the continuous-valued states in the monitored system, and (3) provide information about type I and type II detection errors, as well as other critical statistics. Among the advantages offered by this diagnosis approach is the fact that the pdf state estimate may be used as the initial condition in prognostic modules after a particular fault mode is isolated, hence allowing swift transitions between FDI and prognostic routines. The failure prognosis module, on the other hand, computes (in real time) the pdf of the remaining useful life (RUL) of the faulty subsystem using a particle-filtering-based algorithm. This algorithm consecutively updates the current state estimate for a nonlinear state-space model (with unknown time-varying parameters) and predicts the evolution in time of the fault indicator pdf. The outcome of the prognosis module provides information about the precision and accuracy of long-term predictions, RUL expectations, 95% confidence intervals, and other hypothesis tests for the failure condition under study. Finally, inner and outer correction loops (learning schemes) are used to periodically improve the parameters that characterize the performance of FDI and/or prognosis algorithms. Illustrative theoretical examples and data from a seeded fault test for a UH-60 planetary carrier plate are used to validate all proposed approaches. Contributions of this research include: (1) the establishment of a general methodology for real time FDI and failure prognosis in nonlinear processes with unknown model parameters, (2) the definition of appropriate procedures to generate dependable statistics about fault conditions, and (3) a description of specific ways to utilize information from real time measurements to improve the precision and accuracy of the predictions for the state probability density function (pdf).