Machine prognostics based on health state estimation using SVM

The ability to accurately predict the remaining useful life of machine components is critical for machine continuous operation, and can also improve productivity and enhance system safety. In condition-based maintenance (CBM), maintenance is performed based on information collected through condition monitoring and an assessment of the machine health. Effective diagnostics and prognostics are important aspects of CBM for maintenance engineers to schedule a repair and to acquire replacement components before the components actually fail. All machine components are subjected to degradation processes in real environments and they have certain failure characteristics which can be related to the operating conditions. This paper describes a technique for accurate assessment of the remnant life of machines based on health state probability estimation and involving historical knowledge embedded in the closed loop diagnostics and prognostics systems. The technique uses a Support Vector Machine (SVM) classifier as a tool for estimating health state probability of machine degradation, which can affect the accuracy of prediction. To validate the feasibility of the proposed model, real life historical data from bearings of High Pressure Liquefied Natural Gas (HP-LNG) pumps were analysed and used to obtain the optimal prediction of remaining useful life. The results obtained were very encouraging and showed that the proposed prognostic system based on health state probability estimation has the potential to be used as an estimation tool for remnant life prediction in industrial machinery.

Bearing fault prognosis based on health state probability estimation

In condition-based maintenance (CBM), effective diagnostic and prognostic tools are essential for maintenance engineers to identify imminent fault and predict the remaining useful life before the components finally fail. This enables remedial actions to be taken in advance and reschedule of production if necessary. All machine components are subjected to degradation processes in real environments and they have certain failure characteristics which can be related to the operating conditions. This paper describes a technique for accurate assessment of the remnant life of bearings based on health state probability estimation and historical knowledge embedded in the closed loop diagnostics and prognostics system. The technique uses the Support Vector Machine (SVM) classifier as a tool for estimating health state probability of machine degradation process to provide long term prediction. To validate the feasibility of the proposed model, real life fault historical data from bearings of High Pressure-Liquefied Natural Gas (HP-LNG) pumps were analysed and used to obtain the optimal prediction of remaining useful life (RUL). The results obtained were very encouraging and showed that the proposed prognosis system based on health state probability estimation has the potential to be used as an estimation tool for remnant life prediction in industrial machinery.

Intelligent reliability analysis with incomplete covariates

The reliability analysis is crucial to reducing unexpected down time, severe failures and ever tightened maintenance budget of engineering assets. Hazard based reliability methods are of particular interest as hazard reflects the current health status of engineering assets and their imminent failure risks. Most existing hazard models were constructed using the statistical methods. However, these methods were established largely based on two assumptions: one is the assumption of baseline failure distributions being accurate to the population concerned and the other is the assumption of effects of covariates on hazards. These two assumptions may be difficult to achieve and therefore compromise the effectiveness of hazard models in the application. To address this issue, a non-linear hazard modelling approach is developed in this research using neural networks (NNs), resulting in neural network hazard models (NNHMs), to deal with limitations due to the two assumptions for statistical models. With the success of failure prevention effort, less failure history becomes available for reliability analysis. Involving condition data or covariates is a natural solution to this challenge. A critical issue for involving covariates in reliability analysis is that complete and consistent covariate data are often unavailable in reality due to inconsistent measuring frequencies of multiple covariates, sensor failure, and sparse intrusive measurements. This problem has not been studied adequately in current reliability applications. This research thus investigates such incomplete covariates problem in reliability analysis. Typical approaches to handling incomplete covariates have been studied to investigate their performance and effects on the reliability analysis results. Since these existing approaches could underestimate the variance in regressions and introduce extra uncertainties to reliability analysis, the developed NNHMs are extended to include handling incomplete covariates as an integral part. The extended versions of NNHMs have been validated using simulated bearing data and real data from a liquefied natural gas pump. The results demonstrate the new approach outperforms the typical incomplete covariates handling approaches. Another problem in reliability analysis is that future covariates of engineering assets are generally unavailable. In existing practices for multi-step reliability analysis, historical covariates were used to estimate the future covariates. Covariates of engineering assets, however, are often subject to substantial fluctuation due to the influence of both engineering degradation and changes in environmental settings. The commonly used covariate extrapolation methods thus would not be suitable because of the error accumulation and uncertainty propagation. To overcome this difficulty, instead of directly extrapolating covariate values, projection of covariate states is conducted in this research. The estimated covariate states and unknown covariate values in future running steps of assets constitute an incomplete covariate set which is then analysed by the extended NNHMs. A new assessment function is also proposed to evaluate risks of underestimated and overestimated reliability analysis results. A case study using field data from a paper and pulp mill has been conducted and it demonstrates that this new multi-step reliability analysis procedure is able to generate more accurate analysis results.

Integrated approach for diagnostics and prognostics of HP LNG pump based on health state probability estimation

Effective machine fault prognostic technologies can lead to elimination of unscheduled downtime and increase machine useful life and consequently lead to reduction of maintenance costs as well as prevention of human casualties in real engineering asset management. This paper presents a technique for accurate assessment of the remnant life of machines based on health state probability estimation technique and historical failure knowledge embedded in the closed loop diagnostic and prognostic system. To estimate a discrete machine degradation state which can represent the complex nature of machine degradation effectively, the proposed prognostic model employed a classification algorithm which can use a number of damage sensitive features compared to conventional time series analysis techniques for accurate long-term prediction. To validate the feasibility of the proposed model, the five different level data of typical four faults from High Pressure Liquefied Natural Gas (HP-LNG) pumps were used for the comparison of intelligent diagnostic test using five different classification algorithms. In addition, two sets of impeller-rub data were analysed and employed to predict the remnant life of pump based on estimation of health state probability using the Support Vector Machine (SVM) classifier. The results obtained were very encouraging and showed that the proposed prognostics system has the potential to be used as an estimation tool for machine remnant life prediction in real life industrial applications.

Methane Recovery and use at Grantham Piggery

This report describes the outcomes from the Australian Methane to Markets in Agriculture (AM2MA) research project PRJ-005672 ‘Methane recovery and use at a piggery – Grantham’. This project involved upgrading the biogas extraction system originally installed in conjunction with a partial floating cover, retro-fitted to the primary anaerobic pond at the QNPH Grantham piggery under an earlier AM2MA project (Project No. PRJ-003003), as described by Skerman et al (2011). Following the system upgrade, this project also included installing a biogas reticulation pipeline to supply biogas from the extraction system, to a water heating system used to heat water circulated through underfloor heating pads in the piggery farrowing sheds. This biogas fired water heating system has the potential to significantly reduce on-farm energy costs by replacing a significant proportion of the Liquid Petroleum Gas (LPG) previously used for farrowing shed heating. Further monitoring of the biogas system performance has also been carried out. This report describes the work undertaken and outlines the monitoring results, implications, conclusions and recommendations arising from this work.

Fundamentos da exploração de petróleo e gás natural e análise geoeconômica da matriz energética brasileira atual e projeções futuras

A análise da matriz energética mundial, assim como a brasileira, nos mostra que o gás natural representará em breve um importante insumo energético favorecendo a balança de pagamentos nacional, visto que o gás poderá ser usado tanto para consumo interno, quanto para exportação. O aumento das reservas nacionais de hidrocarbonetos se deve ao desenvolvimento de tecnologias, que favoreceram o conhecimento das bacias brasileiras quanto ao seu potencial produtor de combustíveis fósseis, permitindo a descoberta de novas jazidas. O amadurecimento do mercado nacional quanto ao consumo de gás natural passa pela construção de uma infraestrutura robusta, eficiente e que possibilite a captação, o armazenamento e distribuição do mesmo. O Brasil tem todos os requisitos necessários para adentrar ao seleto grupo de países exportadores de hidrocarbonetos, a descoberta do Pré-sal tende a incrementar a importância do gás natural para o país. Ao final do trabalho são descritos cenários futuros (quanto o consumo de energéticos), onde se vê que o consumo de energia para os próximos anos crescerá a taxas superiores as das duas últimas décadas. Análise destes cenários permite antecipar o interesse de futuros investimentos no desenvolvimento do conhecimento geológico para áreas promissoras.

Alternativas técnico produtivas para o aproveitamento do gás natural da camada pré-sal

As reservas brasileiras de petróleo e gás natural apresentarão um significativo crescimento a partir do desenvolvimento das reservas da camada do pré-sal. Segundo estimativas elaboradas pela EPE e pela EIA, nos próximos vinte anos, haverá um quadro de grande oferta de gás natural no país, com a oferta excedendo a demanda. Como o segmento de transporte do gás natural tem grande importância na formação do custo desse energético, uma tecnologia de transporte menos onerosa irá proporcionar um cenário mais vantajoso para a entrada do gás no mercado. A presente dissertação analisa duas tecnologias disponíveis para escoamento do gás natural da camada pré-sal gasoduto submarino e gás natural liquefeito embarcado e as possibilidades de utilização no mercado interno ou para ser exportado. De acordo com dados da Petrobras, foram utilizadas três rotas para escoar o gás do pré-sal. A metodologia Valor Presente Líquido (VPL) foi utilizada para analisar qual dos investimentos em transporte é mais viável economicamente. Os resultados mostraram que de acordo com as perspectivas de produção do gás natural no horizonte de tempo analisado as duas tecnologias serão viáveis, com o transporte por gasodutos a alternativa mais viável economicamente.

Perspectivas da utilização de gás natural no Brasil

A experiência do mundo desenvolvido mostra que o crescimento econômico de um país sempre requer uma grande disponibilidade de capacidade de produção própria de energia, a preços de mercado competitivos e atraentes. A estabilidade de relações comerciais, definidas por uma regulação transparente e objetiva, adiversidade de fontes supridoras e a existência de políticas de governo que incentivemo desenvolvimento sustentável do mercado consumidor são requisitos imprescindíveis à captação de novos investidores para o setor energético. Não obstante o incremento recente do percentual de gás natural na matriz energética nacional e a perspectiva mundial de aumento do uso deste combustível, alguns desafios ainda se interpõem ao efetivo crescimento da participação do gás natural no mercado energético nacional. Itens críticos para a expansão do uso do gás natural no Brasil, tais como a realização de grandes investimentos em infraestrutura de produção, transporte e distribuição, a exploração das principais reservas de hidrocarbonetos, a redução das incertezas com relação à evolução da demanda por gás no mercado industrial e termelétrico, aliados aos grandes desafios tecnológicos para produção do pré-sal brasileiro geram grandes riscos ao retorno de investimentos no setor, causando postergações ao desenvolvimento de novas áreas de produção e à expansão da demanda de gás. O objetivo deste trabalho é apresentar uma visão ampla do mercado brasileiro de gás natural, baseada emcenários possíveis e desafios futuros à expansão da utilização do gás no país, desenvolvidos a partir da análise de levantamento de dados de produção e consumo e do atual estágio da evolução da indústria gasífera brasileira. Este trabalho apresenta também um conjunto de proposições como objetivo de mitigar as dificuldades citadas e alavancar o desenvolvimento do mercado de gás no Brasi

Sediment contaminant surveillance in Milford Haven Waterway

Sediment contaminants were monitored in Milford Haven Waterway (MHW) since 1978 (hydrocarbons) and 1982 (metals), with the aim of providing surveillance of environmental quality in one of the UK’s busiest oil and gas ports. This aim is particularly important during and after large-scale investment in liquefied natural gas (LNG) facilities. However, methods inevitably have changed over the years, compounding the difficulties of coordinating sampling and analytical programmes. After a review by the MHW Environmental Surveillance Group (MHWESG), sediment hydrocarbon chemistry was investigated in detail in 2010. Natural Resources Wales (NRW) contributed their MHW data for 2007 and 2012, collected to assess the condition of the Special Area of Conservation (SAC) designated under the European Union Habitats Directive. Datasets during 2007-2012 have thus been more comparable. The results showed conclusively that a MHW-wide peak in concentrations of sediment polycyclic aromatic hydrocarbons (PAHs), metals and other contaminants occurred in late 2007. This was corroborated by independent annual monitoring at one centrally-located station with peaks in early 2008 and 2011. The spatial and temporal patterns of recovery from the 2007 peak, shown by MHW-wide surveys in 2010 and 2012, indicate several probable causes of contaminant trends, as follows: atmospheric deposition, catchment runoff, sediment resuspension from dredging, and construction of two LNG terminals and a power station. Adverse biological effects predictable in 2007 using international sediment quality guidelines, were independently tested by data from monitoring schemes of more than a decade duration in MHW (starfish, limpets), and in the wider SAC (grey seals). Although not proving cause and effect, many of these potential biological receptors showed a simultaneous negative response to the elevated 2007 contamination following intense dredging activity in 2006. Wetland bird counts were typically at a peak in the winter of 2005-2006 previous to peak dredging. In the following winter 2006-2007, shelduck in Pembroke River showed their lowest winter count, and spring 2007 was the largest ever drop in numbers of broods across MHW between successive breeding seasons. Wigeon counts in Pembroke River were again low in late 2012 after further dredging nearby. These results are strongly supported by PAH data reported previously from invertebrate bioaccumulation studies in MHW 2007-2010, themselves closely reflecting sediment

Ruostumattoman teräksen käyttö ja käyttövaatimukset LNG:n varasto- ja kuljetusjärjestelmissä

On arvioitu, että koko maailmaa kattava energiantarve nousee 1,2 % vuosinopeudella. Asiaa ei kaunista se tosiasia, että valtaosa tänä päivänä tuotetusta energiasta (85 %) on lähtöisin fossiilisista polttoaineista. Päästöjen on arvioitu lisääntyvän 2005 – 2030 välisenä aikana noin 30 %, vaikka uusiutuvaa energiaa käytettäisiin ja prosessien hyötysuhteet paranisivat. Vuonna 2015 voimaan tuleva rikkidirektiivi on pakottanut asiantuntijat löytämään korvaavan energialähteen, joka vähentäisi päästöjen määrää, ja jota esiintyisi suurissa määrissä. Nesteytetty maakaasu, LNG, toteuttaa edellä mainitut ehdot. Tässä diplomityössä perehdytään LNG-teollisuuden arvoketjuun Suomessa sekä muualla maailmassa. Työssä pääpainona on selvittää ruostumattoman teräksen käyttömahdollisuuksia nykyisessä LNG-teollisuuden arvoketjussa sekä selvittää sen uusia sovelluskohteita LNG-alalla tulevaisuudessa. Diplomityössä on tehty laaja kirjallisuuskatsaus LNG:n arvoketjuun ja uuden EN 1.4420 ruostumattoman teräksen soveltuvuuteen kryogeenisissä lämpötiloissa. Työn aikana on myös tehty useita haastatteluja LNG-teollisuudessa toimivien henkilöiden kanssa. Menetelmäkokeita ja koehitsauksia on suoritettu näiden haastattelujen perusteella.

Las prácticas de recursos humanos y su incidencia en el bienestar laboral de los empleados

El objetivo del presente trabajo es formular, mediante una profunda revisión documental, bibliográfica y empírica, una fundamentación teórica sobre si existe o no incidencia de las prácticas de recursos humanos sobre el bienestar laboral de los empleados, y el que grado en que esta se presenta sobre aspecto como el engagement y la satisfacción laboral. Se realizó la revisión de múltiples estudios empíricos que aportaran evidencia sobre la relación que se presenta entre las principales prácticas de recursos humanos – provisión de personal, formación y desarrollo, promoción de personal, evaluación de desempeño, compensación y pago, y balance trabajo-familia – y el bienestar laboral, representado en el engagement y satisfacción en el trabajo de los empleados. Los resultados de este trabajo indican la existencia de una relación e incidencia de las prácticas de recursos humanos, el bienestar laboral, el engagement y la satisfacción laboral. De igual forma se encontró que estas relaciones son principalmente de carácter positivo, lo cual indica que las organizaciones que desarrollan este tipo de prácticas en su interior, fomentan tanto el desarrollo y la presencia de bienestar laboral en sus empleados, como su perdurabilidad.

Essays on infrastructure in Brazil

A presente tese engloba cinco trabalhos sobre dois setores brasileiros de infraestrutura: setor de energia e de transportes. No primeiro trabalho, modela-se o lance dos leilões de linhas de transmissão de energia, buscando compreender porque os lances ganhadores têm se situado em níveis abaixo do que se espera. No segundo paper, estima-se a demanda de energia do Brasil e as elasticidades preço e renda que os consumidores apresentem em relação a essa demanda, usando uma técnica ainda não aplicada na literatura e incluindo o período da Crise do Racionamento – a qual pode ter mudado o padrão de consumo dos agentes. No terceiro trabalho, estuda-se a evolução do mercado de gás natural liquefeito (GNL) ao redor do mundo. O GNL pode ser o link que faltava entre os mercados de gás natural e essa hipótese é testada por meio de análises de séries de tempo e de cópulas. O quarto paper discute a entrada do GNL no sistema energético brasileiro e suas eventuais consequências. Por fim, o quinto paper analisa a experiência de leilões de rodovias no Brasil. O trabalho levanta relevantes insights a respeito do modelo de leilão utilizado e dos detalhes contratuais dessas licitações.

Opções reais em projetos de investimentos: o caso de uma planta de liquefação de gás natural com flexibilidade de troca de mercado e de troca de produto

O objetivo deste trabalho é revisar os principais aspectos teóricos para a aplicação de Opções Reais em avaliação de projetos de investimento e analisar, sob esta metodologia, um caso real de projeto para investir na construção de uma Planta de Liquefação de gás natural. O estudo do caso real considerou a Opção de Troca de Mercado, ao avaliar a possibilidade de colocação de cargas spot de GNL em diferentes mercados internacionais e a Opção de Troca de Produto, devido à flexibilidade gerencial de não liquefazer o gás natural, deixando de comercializar GNL no mercado internacional e passando a vender gás natural seco no mercado doméstico. Para a valoração das Opções Reais foi verificado, através da série histórica dos preços de gás natural, que o Movimento Geométrico Browniano não é rejeitado e foram utilizadas simulações de Monte Carlo do processo estocástico neutro ao risco dos preços. O valor da Opção de Troca de Mercado fez o projeto estudado mais que dobrar de valor, sendo reduzido com o aumento da correlação dos preços. Por outro lado, o valor da Opção de Troca de Produto é menos relevante, mas também pode atingir valores significativos com o incremento de sua volatilidade. Ao combinar as duas opções simultaneamente, foi verificado que as mesmas não são diretamente aditivas e que o efeito do incremento da correlação dos preços, ao contrário do que ocorre na Opção de Troca de Mercado, é inverso na Opção de Troca de Produto, ou seja, o derivativo aumenta de valor com uma maior correlação, apesar do valor total das opções integradas diminuir.

An assessment of the economic impact of climate change on the Agriculture, Energy and Health sectors in Trinidad and Tobago

This report analyses the agriculture, energy, and health sectors in Trinidad and Tobago to assess the potential economic impacts of climate change on the sectors. The fundamental aim of this report is to assist with the development of strategies to deal with the potential impact of climate change on Trinidad and Tobago. It also has the potential to provide essential input for identifying and preparing policies and strategies to help advance the Caribbean subregion closer to solving problems associated with climate change and attaining individual and regional sustainable development goals. Some of the key anticipated impacts of climate change for the Caribbean include elevated air and sea-surface temperatures, sea-level rise, possible changes in extreme events and a reduction in freshwater resources. The economic impact of climate change on the three sectors was estimated for the A2 and B2 IPCC scenarios until 2050. An exploration of various adaptation strategies was also undertaken for each sector using standard evaluation techniques. The study of the impact of climate change on the agriculture sector focused on root crops, green vegetables and fisheries. For these sectors combined, the cumulative loss under the A2 scenario is calculated as approximately B$2.24 and approximately B$1.72 under the B2 scenario by 2050. This is equivalent to 1.37% and 1.05% of the 2008 GDP under the A2 and B2 scenarios, respectively. Given the potential for significant damage to the agriculture sector a large number of potential adaptation measures were considered. Out of these a short-list of 10 potential options were selected by applying 10 evaluation criteria. All of the adaptation strategies showed positive benefits. The analysis indicate that the options with the highest net benefits are: (1) Building on-farm water storage, (2) Mainstreaming climate change issues into agricultural management and (3) Using drip irrigation. Other attractive options include water harvesting. The policy decisions by governments should include these assessments, the omitted intangible benefits, as well as the provision of other social goals such as employment. The analysis of the energy sector has shown that the economic impact of climate change during 2011-2050 is similar under the A2 (US$142.88 million) and B2 (US$134.83 million) scenarios with A2 scenario having a slightly higher cost (0.737% of 2009 GDP) than the B2 scenario (0.695% of 2009 GDP) for the period. On the supply side, analyses indicate that Trinidad and Tobago’s energy sector will be susceptible to the climate change policies of major energy-importing countries (the United States of America and China), and especially to their renewable energy strategies. Implementation of foreign oil substitution policy by the United States of America will result in a decline in Trinidad and Tobago’s Liquefied Natural Gas (LNG) export (equivalent to 2.2% reduction in 2009 GDP) unless an alternative market is secured for the lost United States of America market. China, with its rapid economic growth and the highest population in the world, offers a potential replacement market for Trinidad and Tobago’s LNG export. In this context the A2 scenario will offer the best option for Trinidad and Tobago’s energy sector. The cost-benefit analysis undertaken on selected adaptation strategies reveal that the benefit-cost ratio of replacing electric water heaters with solar water heaters is the most cost-effective. It was also found that the introduction of Compact Fluorescent Light (CFL) and Variable Refrigerant Volume (VRV) air conditioners surpasses the projected cost of increased electricity consumption due to climate change, and provides an economic rationale for the adoption of these adaptation options even in a situation of increased electricity consumption occasioned by climate change. Finally, the conversion of motor fleets to Compressed Natural Gas (CNG) is a cost-effective adaptation option for the transport sector, although it has a high initial cost of implementation and the highest per capita among the four adaptation options evaluated. To investigate the effect of climate change on the health sector dengue fever, leptospirosis, food borne illnesses, and gastroenteritis were examined. The total number of new dengue cases for the period 2008 to 2050 was 204,786 for BAU, 153,725 for A2 and 131,890 for the B2 scenario. With regard to the results for leptospirosis, A2 and B2 seem to be following a similar path with total number of new cases in the A2 scenario being 9,727 and 9,218 cases under the B2 scenario. Although incidence levels in the BAU scenario coincided with those of A2 and B2 prior to 2020, they are somewhat lower post 2020. A similar picture emerges for the scenarios as they relate to food-borne illnesses and to gastroenteritis. Specifically for food-borne illnesses, the BAU scenario recorded 27,537 cases, the A2 recorded 28,568 cases and the B2 recorded 28,679 cases. The focus on the selected sources of morbidity in the health sector has highlighted the fact that the vulnerability of the country’s health sector to climate change does not depend solely on exogenously derived impacts, but also on the behaviour and practices among the population. It is clear that the vulnerability which became evident in the analysis of the impacts on dengue fever, leptospirosis and food-borne illnesses is not restricted solely to climate or other external factors. The most important adaptation strategy being recommended targets lifestyle, behaviour and attitude changes. The population needs to be encouraged to alter their behaviours and practices so as to minimise their exposure to harmful outcomes as it relates to the incidence of these diseases.

Produção de dejetos e caracterização de possibilidades de aproveitamento em sistemas de produção de suínos com alta tecnologia no estado de São Paulo

Pós-graduação em Agronomia (Energia na Agricultura) - FCA