ITC/USA 2009 Conference Proceedings / The Forty-Fifth Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2009 / Riviera Hotel & Convention Center, Las Vegas, Nevada / Prognostic technology uses a series of algorithms, combined forms a prognostic-based inference engine (PBIE) for the identification of deterministic behavior embedded in completely normal appearing telemetry from fully functional equipment. The algorithms used to define normal behavior in the PBIE from which deterministic behavior is identified can be adapted to quantify normal spacecraft telemetry behavior while in orbit about a moon or planet or during interplanetary travel. Time-series analog engineering data (telemetry) from orbiting satellites and interplanetary spacecraft are defined by harmonic and non-harmonic influences which shape it behavior. Spectrum analysis can be used to understand and quantify the fundamental behavior of spacecraft analog telemetry and relate the behavior's frequency and phase to its time-series behavior through Fourier analysis.

Thesis (MEng)--Stellenbosch University, 2014. / ENGLISH ABSTRACT: The South African National Standard for the structural use of cold-formed steel (SANS 10162-2) provides capacity prediction models for screwed connections. Screwed connections are designed against shear failure of the screw(s), section tear-out, net section failure and tilt-andbearing failure. Previous studies (Rogers & Hancock, 1997) showed that the capacity is typically determined by the tilt-and-bearing type failure mode. The aim of this document is to report on the reliability of single screwed connections in cold-formed steel against this critical failure mode. Predicted nominal capacities depend on the ultimate tensile strength of the steel, the thickness of the connected plates and the diameter of the screw. Design capacities are obtained by multiplying the nominal capacities by a capacity reduction factor of 0.5, according to SANS 10162-2. Reliability is assessed by means of FORM analyses, taking uncertainty in the prediction model and variability of input parameters into account. Laboratory testing of 222 single screwed connections allowed to statistically describe the model factor, i.e. the ratio of actual tested- over unbiased predicted capacity. For each connection, the steel strength, plate thickness and screw diameter were measured, with the measured values used to predict capacity. This implies that the model factor accounts for uncertainty in the prediction model and experimental setup, while the variability of input parameters is separately accounted for through appropriate statistical modelling. Variability in the input parameters was described using appropriate statistical distributions from expert literature (Holicky, 2009:199; JCSS, 2000). For steel strength, the mean value and standard deviation were obtained from tensile tests, while mean values and standard deviations of the plate thickness and screw diameter were obtained from the above mentioned measurements. The experimental work and numerical analysis resulted in a model factor with a mean just exceeding unity and a small standard deviation. This suggests that the design code under consideration is able to accurately predict the nominal capacity of screwed connections. The FORM analysis resulted in computed reliability indexes significantly higher than the corresponding target values which suggest conservative and reliable design formulations. Die eksperimentele werk en numeriese analise het gelei tot 'n model faktor met 'n gemiddeld hoër as een en 'n klein standaardafwyking. Dit dui daarop aan dat die ontwerp-kode onder oorweging in staat is om die nominale kapasitiet van skroef verbindings akkuraat te voorspel. Die betroubaarheid analise het gelei tot betroubaarheidsindekse aansienlik hoër as die ooreenstemmende teiken waardes wat daarop dui dat die ontwerp formulerings betroubaar en hoogs konserwatief is. / AFRIKAANSE OPSOMMING: Die Suid-Afrikaanse Nasionale Standaard vir die strukturele gebruik van koud gevormde staal (SANS 10162-2) bied voorspellingsmodelle vir die kapasitiet van skroef verbindings. Skroef verbindings word ontwerp teen skroef faling, staal profiel faling, die uitskeer van skroewe en ook faling weens skroef kanteling. Vorige studies (Rogers & Hancock, 1997) het getoon dat die kapasiteit gewoonlik bepaal word deur die skroef-kantel falingsmodus. Die doel van hierdie navorsing is om verslag te doen oor die betroubaarheid van tipiese enkel skroef verbindings in koud gevormde staal strukture teen hierdie kritiese falingsmodus. Voorspelde nominale kapasiteite hang af van die treksterkte van die staal, die dikte van die verbonde profiele en die diameter van die skroef. Volgens die SANS 10162-2 word die ontwerp kapasiteit verkry deur die nominale kapasiteit met 'n kapasiteitsverminderingsfaktor van 0.5 te vermenigvuldig. Betroubaarheid word ontleed deur middel van ʼn eerste orde betroubaarheidsmetode analise, met die in ag neming van onsekerheid in die voorspellingsmodel en wisselvalligheid van die parameters. Laboratoriumtoetse van 222 enkel skroef verbindings het ʼn statistiese beskrywing van die model faktor toegelaat. Die model faktor is bereken as die verhouding tussen die getoetste kapasitiet en die voorspelde kapasitiet. Die staal sterkte, profiel dikte en skroef diameter is gemeet vir elke verbinding met die gemete waardes wat gebruik is om die kapasiteit te voorspel. Dit beteken dat die model faktor slegs onsekerhede in die voorspellingsmodel en van die eksperimentele opstelling in ag neem, terwyl die wisselvalligheid van die parameters afsonderlik in ag geneem word deur toepaslike statistiese modellering. Variasie in die parameters is beskryf met gepaste statistiese verdelings voorgestel deur verskeie literatuur (Holicky, 2009:199; JCSS, 2000). Aangaande die staal sterkte, is die gemiddelde waardes en standaardafwykings verkry deur standaard trek toetse terwyl die gemiddelde waardes en standaardafwykings van die plaat dikte en skroef diameter verkry is deur die bogenoemde metings.

ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada / The surprise failure of two NASA Space Shuttles and the premature failures of satellite subsystem equipment on NASA satellites are motivating NASA to adopt an engineering discipline that uses telemetry specifically developed for preventing surprise equipment failures. The NASA Orion spacecraft is an Apollo module-like capsule planned to replace the NASA Space Shuttle reusable launch vehicle for getting astronauts to space and return to the earth safely as well as a crew escape vehicle stored at the ISS. To do so, NASA is adopting a non-Markov reliability paradigm for measuring equipment life based on the prognostic and health management program on the Air Force F-35 Joint Strike Fighter. The decision is based on the results from the prognostic analysis completed on the Space Shuttle Challenger and Columbia that identified the information that was present but was ignored for a variety of reasons. The goal of a PHM is to produce equipment that will not fail prematurely. It includes using predictive algorithms to measure equipment usable life. Equipment with transient behavior caused from accelerated of parts will fail prematurely with 100% certainty. For many decades, it was believed that test equipment and software used to in testing and noise from communications equipment were the cause of most transient behavior. With the processing speed of today's processors, transient behavior is caused from at least one part suffering from accelerated aging. Transient behavior is illustrated in equipment telemetry in a prognostic analysis. Telemetry is equipment performance information and equipment performance has been used to increase reliability, but performance is unrelated to equipment remaining usable life and so equipment should be failing prematurely. A PHM requires equipment telemetry for analysis and so analog telemetry will be available from all Orion avionics equipment. Replacing equipment with a measured remaining usable life of less than one year will stop the premature and surprise equipment failures from occurring during future manned and unmanned space missions.

ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada / Launch vehicle equipment reliability is driven by infant mortality failures, which can be eliminated using a prognostic analysis prior, during and/or after the exhaustive and comprehensive dynamic environmental factory acceptance testing. Measuring and confirming equipment performance is completed to increase equipment reliability by identifying equipment that fails during test for repair/replacement. To move to the 100% reliability domain, equipment dynamic environmental factory testing should be followed by a prognostic analysis to measure equipment usable life and identify the equipment that will fail prematurely. During equipment testing, only equipment performance is measured and equipment performance is unrelated to equipment reliability making testing alone inadequate to produce equipment with 100% reliability. A prognostic analysis converts performance measurements into an invasive usable life measurement by sharing test data used to measure equipment performance. Performance data is converted to usable life data provides a time-to-failure (TTF) in minutes/hours/days/months for equipment that will fail within the first year of use, allowing the production of equipment with 100% reliability.

ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada / Satellite and launch vehicles continues to suffer from catastrophic infant mortality failures. NASA now requires satellite suppliers to provide on-orbit satellite delivery and a free satellite and launch vehicle in the event of a catastrophic infant mortality failure. A high infant mortality failure rate demonstrates that the factory acceptance test program alone is inadequate for producing 100% reliability space vehicle equipment. This inadequacy is caused from personnel only measuring equipment performance during ATP and performance is unrelated to reliability. Prognostic technology uses pro-active diagnostics, active reasoning and proprietary algorithms that illustrate deterministic data for prognosticians to identify piece-parts, components and assemblies that will fail within the first year of use allowing this equipment to be repaired or replaced while still on the ground. Prognostic technology prevents equipment failures and so is pro-active. Adding prognostic technology will identify all unreliable equipment prior to shipment to the launch pad producing 100% reliable equipment and will eliminate launch failures, launch pad delays, on-orbit infant mortalities, surprise in-orbit failures. Moving to the 100% reliable equipment extends on-orbit equipment usable life.

ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada / Prognostic technology uses a series of algorithms, combined forms a prognostic-based inference engine (PBIE) for the identification of deterministic behavior embedded in completely normal appearing telemetry from fully functional equipment. The algorithms used to define normal behavior in the PBIE from which deterministic behavior is identified can be adapted to quantify normal spacecraft telemetry behavior while in orbit about a moon or planet or during interplanetary travel. Time-series analog engineering data (telemetry) from orbiting satellites and interplanetary spacecraft are defined by harmonic and non-harmonic influences, which shape it behavior. Spectrum analysis can be used to understand and quantify the fundamental behavior of spacecraft analog telemetry and relate the behavior's frequency and phase to its time-series behavior through Fourier analysis.

Este trabalho propõe o uso de Sistemas de Informação e Inteligência Empresarial visando a Análise Inteligente de Falhas para Apoiar Decisões Estratégicas em Projetos de Sistemas Críticos. Tal proposta estabelece uma correlação entre a dinâmica proveniente de recursos e ferramentas de Sistemas de Informação e Inteligência Empresarial, e a necessidade de se obter informações precisas, em intervalos de tempo aceitáveis para agregar valores tangíveis na segurança, confiabilidade, disponibilidade e mantenabilidade de Sistemas Críticos. A proposta aqui apresentada vem ao encontro da necessidade premente de disponibilizar, com maior eficácia, informações precisas para a aferição de indicadores importantes ao Projeto de Sistemas Críticos, e favorecer a implementação de ações mitigadoras de falhas que possam vir a comprometer o funcionamento desses sistemas. De forma a completar e consolidar a proposta em questão desenvolveu-se um ambiente computacional, utilizando-se dos fundamentos teóricos e das melhores práticas de Sistemas de Informação e Inteligência Empresarial, com as especificidades inerentes a Sistemas Críticos. Avaliou-se tal ambiente em um estudo de caso desenvolvido no Sistema Metroviário de São Paulo. Esse estudo de caso contribuiu, no aspecto conceitual, com a realização de ensaios de análises qualitativas e quantitativas de falhas, fornecendo informações relevantes para apoiar possíveis decisões estratégicas no sistema estudado. / This work proposes the use of Information Systems and Business Intelligence aiming an Intelligent Analysis of Failure that supports Strategic Decision Making in Critical Systems Projects. This proposition establishes a correlation between the dynamics of resources and tools from Information Systems and Business Intelligence, and the need to obtain accurate information within an acceptable time interval to add tangible value in security, reliability, availability and maintainability of Critical Systems. The proposition presented here meets the need to provide, more efficiently, accurate information to measure relevant indicators of the projects in Critical Systems, and favor the implementation of failure mitigating actions that could come to compromise the functioning of these systems. In order to complete and consolidate the proposition in question, a computational environment was developed, making use of the theoretical bases and of the best practices of Systems of Information and Business Intelligence, with the peculiarities inherent to Critical Systems. Such environment was evaluated in a case study in the Metrorail Company of São Paulo State, in which qualitative and quantitative analysis of failures were tested, providing relevant information to support possible strategic decisions in the system studied.

A análise de falhas potenciais compreende o uso de técnicas sistemáticas (métodos) durante o Processo de Desenvolvimento de Produto (PDP) que utilizam conhecimentos tácitos de engenharia para prever possíveis falhas, tanto do projeto (design) do produto quanto de seu processo de fabricação, e propor ações que evitem a ocorrência dessas falhas. O problema prático que motiva a realização deste trabalho é a dificuldade enfrentada pelas empresas em alcançar plenamente todos os benefícios decorrentes da aplicação da análise de falhas potenciais. O exame do estado da arte indica que há diversos problemas e práticas propostas para minimizar esses problemas dispersos na literatura. Existem também empresas benchmark na aplicação de métodos de análise de falhas potenciais que podem ser estudadas para o levantamento de outras práticas. Assim, o trabalho tem como objetivo sistematizar os problemas e práticas presentes na literatura e práticas empregadas por uma empresa benchmark. A fim de atingir esse objetivo, são gerados dois resultados principais. O primeiro, alcançado por meio de uma Revisão Bibliográfica Sistemática, é o agrupamento dos problemas e das práticas de análise de falhas potenciais presentes na literatura em categorias. Os 37 problemas encontrados foram agrupados em: Definição do risco, Recursos, Integração PDP, Temporal, Cultura organizacional, Gestão de informações, Procedimentos e Comportamental; e as 161 práticas em Abordagem, Ferramenta, Framework, Método, Software e Diretriz. O segundo resultado, obtido a partir de um estudo de caso, são práticas empregadas por uma empresa que é referência na aplicação dos métodos de análise de falhas potenciais FMEA (Failure Mode and Effects Analysis) e DRBFM (Design Review Based on Failure Mode). Os resultados do estudo de caso sugerem que o sucesso da execução dos métodos FMEA e DRBFM, na unidade de negócio caso, deve-se à combinação de provisão de recursos, trabalho em equipe multidisciplinar, formação de competências (treinamento), definição de procedimentos, aplicação integrada com outros métodos/ferramentas do PDP, e, sobretudo, não considerar a aplicação como atividade pro forma. Os conhecimentos gerados nesse trabalho podem contribuir para auxiliar as empresas a alcançarem os benefícios da aplicação de métodos de análise de falhas potenciais no processo de desenvolvimento de produtos. / The potential failure analysis is the application of systematic techniques (methods) in the process of New Product Development (NPD) that make the use of tacit engineering knowledge to predict possible design and manufacturing process failures and to define countermeasures. The practical problem which motivates the accomplishment of this research is the challenge companies face in achieving the full benefits that can be yield with the application of methods of potential failure analysis. The status of the research carried out in the field shows that there are many problems related to that challenge and practices proposed to mitigate these problems, dispersed in the literature. Notwithstanding the practices later cited, benchmark companies in applying methods of potential failure analysis can be investigated for discovering more practices. The goal of this study is to systematize both the problems and practices reported in the literature and the practices adopted by a benchmark company. In meeting that goal, this research delivered two main outcomes. First, through a Systematic Literature Review, is the sorting of the problems and practices cited in the literature. The 37 problems found were categorised in the classes: Definition of risk, Resources, NPD integration, Moment, Organizational culture, Information management, Procedures and Behavioural; and the 161 practices in Approach, Tool, Framework, Method, Software and Guideline. The second outcome, accomplished through a case study, is a set of practices employed by a company which is reference in applying the FMEA (Failure Mode and Effects Analysis) e DRBFM (Design Review Based on Failure Mode) methods. The findings suggest that the successful execution of the FMEA and DRBFM methods, in the business unit case, is due to a combination of provision of resources, employing multi-disciplinary teams, training, defining and documenting the process of application, integrating the application of these methods with others NPD methods/tools, and, mainly, not considering the application a perfunctory task. It is believed that the knowledge resulted from this research might assist companies to get benefits from the methods of potential failure analysis applied into the process of new product development.

O trabalho aqui apresentado descreve algumas pesquisas em teste de circuitos integrados. Estas pesquisas consistem, por um lado, na análise de falhas e por outro, na validação de protótipos, ambas fazendo uso de técnicas de teste com feixe de elétrons. A primeira parte deste trabalho apresenta uma revisão dos princípios do teste com feixe de elétrons, bem como descreve as pesquisas correntemente em desenvolvimento no laboratório TIM3-INPG. Também são abordados temas como o tratamento de imagem em contraste de potencial e projeto visando a testabilidade de circuitos no teste com feixe de elétrons. Quanto a este último assunto, sua inclusão neste trabalho visou apresentar, aqueles que trabalham na área de projetos de circuitos, desconhecedores dos problemas do MEV, idéias de como realizar seu projeto a fim de tornar a tarefa de depuração do protótipo pelo feixe de elétrons o mais fácil possível. A segunda parte descreve experimentos práticos na área de validação de protótipos, onde duas técnicas pertinentes foram utilizadas e o estudo de um caso real foi apresentado. A primeira técnica é baseada na adaptação de uma ferramenta de comparação de múltiplas imagens adjacentes, que foi originalmente desenvolvida para o processo de análise de falhas. A segunda técnica utilizada faz uso de um sistema especialista que, baseado no conhecimento adquirido do circuito, gera o diagnóstico automático de falha. Os desempenhos destas duas ferramentas são apresentados e discutidos, bem como é fornecido o diagnóstico de falha para o circuito protótipo utilizado. Como conclusão, são propostos futuros desenvolvimentos no processo de validação de protótipo. Estes melhoramentos objetivam tanto a completa automação do processo quanto o enriquecimento da informação provida no final do processo de diagnóstico de falha, de forma a obter-se um ambiente de teste para validação de protótipos apresentando um alto grau de integração e automação. / The work reported herein describes some IC testing research. This research concerns on one hand, failure analysis and on the other hand IC prototype validation, both making use of e-beam testing techniques. The first part of this work presents a review of e-beam testing as well as describes the researches currently in progress at the TIM3-INPG Laboratory. Subjects like voltage contrast image treatment and design for testability in e-beam testing are also discussed. Considering the last theme, it was included in this work in order to provide to the IC designers, whose knowledge about the SEM problems is not enough, some ideas on the way of how to accomplish their design to make the prototype validation process as easy as possible. The second part describes practical experiments in the prototype validation domain, where two approaches were used and a real case study was presented. The first approach is based on the multiple adjacent images comparison process adaptation, firstly developed to be used in the failure analysis process. The second technique makes use of an expert system, based on the acquired knowledge of the device under test in order to provide the fault diagnosis. The performances of these two approaches are presented and discussed, as well as, the fault diagnosis to the prototype circuit is presented. As conclusion, it is proposed further developments in the prototype validation approach. These improvements deal with the automation of the entire process as well as the enhancement of the information provided at the end of the fault diagnosis process, in order to obtain a testing environment for prototype validation with high integration and automation degrees.

A análise de falhas potenciais compreende o uso de técnicas sistemáticas (métodos) durante o Processo de Desenvolvimento de Produto (PDP) que utilizam conhecimentos tácitos de engenharia para prever possíveis falhas, tanto do projeto (design) do produto quanto de seu processo de fabricação, e propor ações que evitem a ocorrência dessas falhas. O problema prático que motiva a realização deste trabalho é a dificuldade enfrentada pelas empresas em alcançar plenamente todos os benefícios decorrentes da aplicação da análise de falhas potenciais. O exame do estado da arte indica que há diversos problemas e práticas propostas para minimizar esses problemas dispersos na literatura. Existem também empresas benchmark na aplicação de métodos de análise de falhas potenciais que podem ser estudadas para o levantamento de outras práticas. Assim, o trabalho tem como objetivo sistematizar os problemas e práticas presentes na literatura e práticas empregadas por uma empresa benchmark. A fim de atingir esse objetivo, são gerados dois resultados principais. O primeiro, alcançado por meio de uma Revisão Bibliográfica Sistemática, é o agrupamento dos problemas e das práticas de análise de falhas potenciais presentes na literatura em categorias. Os 37 problemas encontrados foram agrupados em: Definição do risco, Recursos, Integração PDP, Temporal, Cultura organizacional, Gestão de informações, Procedimentos e Comportamental; e as 161 práticas em Abordagem, Ferramenta, Framework, Método, Software e Diretriz. O segundo resultado, obtido a partir de um estudo de caso, são práticas empregadas por uma empresa que é referência na aplicação dos métodos de análise de falhas potenciais FMEA (Failure Mode and Effects Analysis) e DRBFM (Design Review Based on Failure Mode). Os resultados do estudo de caso sugerem que o sucesso da execução dos métodos FMEA e DRBFM, na unidade de negócio caso, deve-se à combinação de provisão de recursos, trabalho em equipe multidisciplinar, formação de competências (treinamento), definição de procedimentos, aplicação integrada com outros métodos/ferramentas do PDP, e, sobretudo, não considerar a aplicação como atividade pro forma. Os conhecimentos gerados nesse trabalho podem contribuir para auxiliar as empresas a alcançarem os benefícios da aplicação de métodos de análise de falhas potenciais no processo de desenvolvimento de produtos. / The potential failure analysis is the application of systematic techniques (methods) in the process of New Product Development (NPD) that make the use of tacit engineering knowledge to predict possible design and manufacturing process failures and to define countermeasures. The practical problem which motivates the accomplishment of this research is the challenge companies face in achieving the full benefits that can be yield with the application of methods of potential failure analysis. The status of the research carried out in the field shows that there are many problems related to that challenge and practices proposed to mitigate these problems, dispersed in the literature. Notwithstanding the practices later cited, benchmark companies in applying methods of potential failure analysis can be investigated for discovering more practices. The goal of this study is to systematize both the problems and practices reported in the literature and the practices adopted by a benchmark company. In meeting that goal, this research delivered two main outcomes. First, through a Systematic Literature Review, is the sorting of the problems and practices cited in the literature. The 37 problems found were categorised in the classes: Definition of risk, Resources, NPD integration, Moment, Organizational culture, Information management, Procedures and Behavioural; and the 161 practices in Approach, Tool, Framework, Method, Software and Guideline. The second outcome, accomplished through a case study, is a set of practices employed by a company which is reference in applying the FMEA (Failure Mode and Effects Analysis) e DRBFM (Design Review Based on Failure Mode) methods. The findings suggest that the successful execution of the FMEA and DRBFM methods, in the business unit case, is due to a combination of provision of resources, employing multi-disciplinary teams, training, defining and documenting the process of application, integrating the application of these methods with others NPD methods/tools, and, mainly, not considering the application a perfunctory task. It is believed that the knowledge resulted from this research might assist companies to get benefits from the methods of potential failure analysis applied into the process of new product development.