Abstract Despite the large amount of research work in condition based maintenance and condition monitoring methods, there is still a need for more reliable and accurate methods. The clear evidence of that need is the continued dependence on time based maintenance, especially for critical applications such as turbomachinery and airplane engines. The lack of accurate condition monitoring systems could lead to not only the unexpected failures as well as the resulting hazards and repair costs, but also a huge waste of material and time because of unnecessary replacement due to false alarms and unnecessary repair and maintenance. Temperature change is a phenomenon that accompanies every dynamic activity in the universe. However, it has not been adequately exploited for mechanical system condition monitoring. The reason is the slow response of current temperature monitoring systems compared to other condition monitoring methods such as vibration analysis. Many references inferred that the change in temperature is not sensible until approaching the end of the monitored component life and even the whole system life (Kurfess, et al., 2006; Randall, 2011; Patrick, et al., March 7-14, 2009). On the other hand, the most commonly used condition monitoring method, i.e., vibration analysis, is not free from pitfalls. Although vibration analysis has shown success in detecting some bearing faults, for other faults like lubrication problems and gradual wear it is much less effective. Also, it does not give a reliable indication of fault severity for many types of bearing faults. The advancement of thermography as a temperature monitoring tool encourages the reconsideration of temperature monitoring for mechanical system fault detection. In addition to the improved accuracy and responsiveness, it has the advantage of non-contact monitoring which eliminates the need for complex sensor mounting and wiring especially for rotating components. Therefore, in current studies the thermography-based monitoring method is often used either as a distinct method or as a complementary tool to vibration analysis in an integrated condition monitoring system. The main objectives of this study are hence to: 1. Define heat sources in the rolling element bearings and overview two of the most famous bearing temperature calculation methods. 2. Setup a bearing test rig that is equipped with both vibration and temperature monitoring systems. 3. Develop a temperature calculation analytical model for rolling element bearing that include both friction calculation and heat transfer models. The friction calculated by the model will be compared to that calculated using the pre-defined empirical methods. The heat transfer model is used for bearing temperature calculation that will be compared to the experimental measurement using different temperature monitoring devices. 4. Propose a new in-band signal enhancement technique, based on the synchronous averaging technique, Autonomous Time Synchronous Averaging (ATSA) that does not need an angular position measuring device. The proposed method, in addition to the Spectral Kurtosis based band selection, will be used to enhance the bearing envelope analysis. 5. Propose a new method for classification of the bearing faults based on the fault severity and the strength of impulsiveness in vibration signals. It will be used for planning different types of tests using both temperature and vibration methods. 6. Develop and experimentally test a new technique to stimulate the bearing temperature transient condition. The technique is supported by the results of finite element modeling and is used for bearing temperature condition monitoring when the bearing is already running at thermal equilibrium condition.

The recent trend in modern information technology has been towards the increased use of portable and handheld devices such as cellular telephones, personal digital assistants (PDAs), and wireless networks. This trend presents the need for compact and power efficient radio systems. Typically, the most power inefficient device in a radio system is the power amplifier (PA). PA inefficiency requires increased battery reserves to supply the necessary DC bias current, resulting in larger devices. Alternatively, the length of time between battery charges is reduced for a given battery size, reducing mobility. In addition, communications channels are becoming increasingly crowded, which presents the need for improved bandwidth efficiency. In order to make more efficient use of the frequency spectrum allocated for a particular system, there is a push towards complex higher order digital modulation schemes in modern radio systems, resulting in stricter linearity requirements on the system. Since power efficient amplifiers are typically nonlinear, this poses a major problem in realizing a bandwidth and power efficient radio system. However, by employing various linearization techniques, the linearity of a high efficiency PA may be improved. The work presented in this thesis focuses on diode predistortion linearization, particularly for PA RFICs in digital radios. Background discussion on common linearization techniques available to the PA designer is presented. In addition, a discussion of traditional and modern methods of nonlinearity characterization is presented, illustrating the nonlinear PA effects on a modulated signal. This includes the use of two-tone analysis and the more modern envelope analysis. The operation of diode predistortion linearizers is discussed in detail, along with diode optimization procedures for PA linearization with minimum impact on return loss and gain. This diode optimization is effective in improving the ability to integrate the predistorter into a single, linearized PA RFIC chip. MESFET and HBT based diode linearizers are studied for use with corresponding MESFET and HBT based PAs in the 2.68 GHz and 1.95 GHz frequency bands, respectively. Results show an improvement in adjacent channel power ratio (ACPR) due to the linearizer in both MESFET and HBT cases. A fully integrated 1.95 GHz linearizer and PA RFIC in HBT technology is also presented. Design considerations, simulations, and layouts for this design are presented. Finally, several recommendations are made for continued research in this area. / Master of Science

Diversos pesquisadores têm associado à melhoria dos índices de desenvolvimento social e econômico dos indivíduos e dos países a melhoria da qualidade da educação. O Brasil tem ampliado o gasto público no setor sem, no entanto, incrementar os índices de qualidade, o que se verifica nas avaliações padronizadas de leitura e escrita, realizadas em âmbito nacional (Prova Brasil) e internacional (PISA). Em geral, os estudos na área buscam identificar os fatores intra e extraescolares que influenciam nos resultados educacionais, sem, no entanto, fornecer um ferramental que auxilie os agentes educacionais na implantação de ações para a melhoria do serviço educacional. Assim, este estudo tem como objetivo propor boas práticas administrativas e pedagógicas que possam ser adotadas nos sistemas municipais de ensino fundamental II. Estas práticas foram identificadas a partir da análise dos dados de 3.330 escolas municipais brasileiras do ensino fundamental, coletados a partir do Censo Escolar e dos Questionários Contextuais da Prova Brasil. Para isso utilizou-se a metodologia quali-quantitativa proposta por Salgado Junior e Novi (2014). Inicialmente as escolas foram agrupadas pelo nível socioeconômico, visando à redução dos efeitos deste fator nos resultados. A seguir foi aplicada a técnica DEA dois estágios, para a identificação das escolas de alto e baixo desempenho em agregar resultados aos seus alunos em leitura escrita na Prova Brasil. Finalmente foram realizados múltiplos estudos de caso em escolas de alto e baixo desempenho, para compreender in loco como as práticas se diferenciam entre os grupos. Verificou-se que, mesmo depois de controlados os fatores socioeconômicos, as escolas ainda apresentam significativas diferenças de desempenho e que o aumento do investimento anual médio por aluno não tem correlação com melhoria nos resultados educacionais. Os resultados enfatizam a importância da participação da família e da comunidade no processo educacional, bem como do diretor escolar como agente de integração escola-família e como suporte ao corpo docente na oferta das condições básicas ao desempenho de suas funções. Foram encontradas 55 práticas que podem ser aplicadas pelas Secretarias Municipais de Educação, professores e diretores escolares, bem como pelos alunos e seus familiares para a promoção da melhoria do desempenho dos estudantes do ensino fundamental II em leitura e escrita / Several researchers have associated the improvement of the social and economic development indexes of individuals and countries with the improvement on the quality of education. Brazil has expanded public spending in the sector without, however, increasing quality indexes, which can be verified in the standardized reading and writing assessments carried out at the national level (Prova Brasil) and international (PISA). In general, the studies in the area seek to identify in-school and out-of-school factors that influence educational outcomes, without, however, providing a tool to assist educational agents in implementing actions to improve educational services. Thus, this study aims to propose good administrative and pedagogical practices that can be adopted in municipal systems of elementary education II. These practices were identified from the analysis of the data of 3,330 Brazilian municipal schools of primary education, collected from the School Census and the Contextual Questionnaires of the Brazil Test. For that, the qualitative-quantitative methodology proposed by Salgado Junior e Novi (2014) was used. Initially, the schools were grouped by the socioeconomic level, aiming to reduce the effects of this factor on the results. The two-stage DEA technique was applied to identify high and low-performance schools in aggregating results to their students in written reading in \"Prova Brasil\". Finally, multiple case studies were conducted in high and low performing schools to understand in situ how practices differ among groups. It was found that even after the socioeconomic factors were controlled, schools still show significant performance differences and that the increase in the average annual investment per student has no correlation with the improvement in educational outcomes. The results emphasize the importance of family and community participation in the educational process as well as the school director as an agent for school-family integration and as a support to the teaching staff in offering the basic conditions to the performance of their duties. We found 55 practices that can be applied by the Municipal Secretariats of Education, teachers and school principals, as well as by students and their families to promote the improvement of the performance of students of elementary education II in reading and writing

Submitted by RODOLFO DE SOUSA SANTOS null (rodolfosousa4@gmail.com) on 2017-08-24T18:31:09Z No. of bitstreams: 1 TESE _RODOLFO_CORRIGIDA_19_08_2017_Final.pdf: 4285264 bytes, checksum: b5dac391b40121a31b55502fba5c1c43 (MD5) / Approved for entry into archive by Luiz Galeffi (luizgaleffi@gmail.com) on 2017-08-25T16:18:27Z (GMT) No. of bitstreams: 1 santos_rs_dr_guara.pdf: 4285264 bytes, checksum: b5dac391b40121a31b55502fba5c1c43 (MD5) / Made available in DSpace on 2017-08-25T16:18:27Z (GMT). No. of bitstreams: 1 santos_rs_dr_guara.pdf: 4285264 bytes, checksum: b5dac391b40121a31b55502fba5c1c43 (MD5) Previous issue date: 2017-07-21 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / Os sinais de vibrações de máquinas rotativas conduzem a informações dinâmicas da máquina e esta análise é de grande importância no que diz respeito ao monitoramento de condição e diagnósticos de máquinas. Vários métodos de análises têm sido empregados no sentido de diagnosticar falhas em componentes de máquinas tais como engrenagens, rolamentos, dentre outros. Este trabalho apresenta uma análise sobre detecção de falhas em rolamentos de máquinas rotativas, e para esta apreciação utilizou-se os bancos de dados da CASE WESTERN RESERV UNIVERSITY e o banco de dados da FEG/UNESP. O objetivo principal deste trabalho foi a implementação de técnicas avançadas para identificar e caracterizar as falhas que são geradas em rolamentos, vislumbrando o aprimoramento da manutenção baseada na condição. Inicialmente, realizou-se a implementação e simulação no banco de dados da (CWRU), utilizando o software MATLAB e por meio da técnica de ressonância de alta frequência (HFRT), obteve-se resultados satisfatórios, entretanto esta metodologia é limitada uma vez que ela é empregada apenas para regime estacionário. A implementação da técnica HFRT não identificou em alguns casos a frequências para caracterização dos defeitos nas pistas dos rolamentos. Em seguida, utilizou-se a técnica Short Time Fourier Transform-STFT. A implementação proporcionou uma análise bem mais sensível aos impactos gerados nas pistas, pois, com a utilização da STFT, foi possível identificar as frequências características de defeitos. Para efeito de comparação optou-se por utilizar a técnica Wavelet combinada com a técnica do envelope. Esta análise foi aplicada usando a Wavelet Daubechies de ordem 4 (db4), em cuja implementação, realizou-se a decomposição do sinal de um rolamento com defeito e verificou-se qual destes apresentou o maior nível RMS e selecionou-se este sinal, pois o mesmo é o nível ideal para aplicação do método. Realizou-se a mesma apreciação ao banco de dados da FEG/UNESP. A análise realizada da técnica de Wavelet combinada com a técnica HFRT foi a que demonstrou melhor capacidade em relação às técnicas HFRT e STFT. Em seguida realizou-se a implementação da técnica de curtose espectral associada à técnica do envelope foi a que proporcionou os resultados mais precisos e satisfatórios, pois com a aplicação dessa metodologia foi possível a determinação de forma automática da região de ressonância e consequentemente uma melhora na caracterização das frequências de defeitos observadas nos rolamentos dos experimentos realizados em máquinas rotativas. / The vibration signals from rotating machines provide a set of dynamic information, which are very important for continuous condition monitoring of machinery. Several analytical methods have been employed in order to diagnose faults in machines components such as gears, bearings and others. This paper presents a fault detection analysis of rotating machinery bearings, using data from CASE WESTERN UNIVERSITY RESERVOIR and the FEG / UNESP database. The main objective of this work is the implementation of advanced techniques to identify and characterize bearing failures, with the purpose to improve maintenance under working conditions. At first, the implementation and simulation were done with data extracted from the database of (CWRU) using MATLAB software and high-frequency resonance technique (HFRT), which led to satisfactory results. However, this technique is limited since it is used only in a stationary regime. In some cases, the implementation of HFRT technique was not able to identify the defect frequencies of the bearing’s races. Next the STFT Short-Time Fourier Transform technique was used. Its implementation provided a much more sensitive analysis of the impacts on the slopes; using STFT allowed to identify the characteristic defect frequencies. For comparison purposes, the wavelet technique combined with the envelope technique were used. This analysis was applied using Daubechies Wavelet of order 4 (DB4). In its implementation, a defective bearing signal was decomposed into various parts. The signal part with the highest RMS level was selected, because it provides best conditions for applying the method. Analogously, data from the FEG / UNESP database were treated. The Wavelet analysis technique combined with HFRT technique demonstrated better capability with respect to the HFRT and STFT techniques. The implementation of the spectral kurtosis technique associated with the envelope technique provided the most accurate and satisfactory results, since with the application of this methodology it was possible to determine the resonance region automatically. Consequently, this is an improvement regarding the characterization of the defect frequencies of the bearings observed in experiments with rotating machinery.

The aim of this master thesis is the comparison of selected methods and parameters for roller bearings diagnostics. Selected statistical parameters are kurtosis, crest factor, and parameter K(t). The other selected methods are envelope analysis, cepstral analysis, and ACEP method. These methods are implemented in LabVIEW software and compared based on noise resistance, computation speed, and overall capability of identifying roller bearing faults.

The thesis is focused on the study of detection of QRS complex in time a frequency domain. The aim is to implement selected methods and their comparison to assess the effectiveness of QRS complex.