Koje Mishina - Academia.edu (original) (raw)
Papers by Koje Mishina
Revista Principia - Divulgação Científica e Tecnológica do IFPB
O slug flow em risers de extração de petróleo em águas profundas é um fenômeno amplamente conheci... more O slug flow em risers de extração de petróleo em águas profundas é um fenômeno amplamente conhecido por seu potencial destrutivo nos casos em que esse efeito se torna extremo fazendo com que a pressão se acumule e, consequentemente, origine o fluxo de pressão oscilante. Esse tipo de escoamento ocorre devido à característica multifásica na extração do óleo, formada geralmente pelas fases óleo e ar (gás). Ao longo de toda a história da extração de petróleo o controle e reconhecimento desse padrão de fluxo gera desafios a engenharia de poços, e ainda hoje o método de mitigação e controle utilizado é subjetivo e dependente da experiência do operador de sonda. A proposta deste artigo é apresentar uma ferramenta de diagnóstico utilizando inteligência artificial a partir das informações de variação de pressão (velocidades de escoamento) coletadas pelos sensores do BOP (Blow Out Preventer) para o reconhecimento do fluxo de golfadas (slugging). Para analisar o slugging em toda a sua faixa e ...
Sensors
Besides the failures that cause accidents, there are the ones responsible for preventing the car’... more Besides the failures that cause accidents, there are the ones responsible for preventing the car’s motion capacity. These failures cause inconveniences to the passengers and expose them to the dangers of the road. Although modern vehicles are equipped with a failure detection system, it does not provide an online approach to the drivers. Third-party devices and skilled labor are necessary to manage the data for failure characterization. One of the most common failures in engines is called misfire, and it happens when the spark is weak or inexistent, compromising the whole set. In this work, two algorithms are compared, based on Wavelet Multiresolution Analysis (WMA) and another using an approach performing signal analysis based on Chaos using the density of maxima (SAC-DM) to identify misfare in a combustion engine of a working automotive vehicle. Experimental tests were carried out in a car to validate the techniques for the engine without failure, with failure in one piston, and w...
Sensors, 2021
The classic monitoring methods for detecting faults in automotive vehicles based on on-board diag... more The classic monitoring methods for detecting faults in automotive vehicles based on on-board diagnostics (OBD) are insufficient when diagnosing several mechanical failures. Other sensing techniques present drawbacks such as high invasiveness and limited physical range. The present work presents a fully noninvasive system for fault detection and isolation in internal combustion engines through sound signals processing. An acquisition system was developed, whose data are transmitted to a smartphone in which the signal is processed, and the user has access to the information. A study of the chaotic behavior of the vehicle was carried out, and the feasibility of using fractal dimensions as a tool to diagnose engine misfire and problems in the alternator belt was verified. An artificial neural network was used for fault classification using the fractal dimension data extracted from the sound of the engine. For comparison purposes, a strategy based on wavelet multiresolution analysis was ...
International Journal of Mechanics and Applications, 2014
This paper presents a proposed modeling of a pressure vessel under internal and external corrosio... more This paper presents a proposed modeling of a pressure vessel under internal and external corrosion using the fitness for service (API 579). Fitness for service (FFS) assessment is a quantitative engineering evaluation of operational components. In the context of pressure vessels and piping systems, FFS assessment is performed periodically to ensure the operational safety and structural integrity. Nondestructive testing by ultrasound was used to obtain loss of thickness wall measurements for pressure vessel damaged and develop the modeling. The objective is to analyze and evaluate the values of Maximum Allowable Working Pressure (MAWP) provided by the Fitness for Service assessment using numerical thermal transient analysis using Finite Element. Results of MAWP are compared when it takes into account several variables that Fitness for Service considers, like the Future Corrosion Allowance (FCA) due to evolution of corrosion, the thickness uniform loss (LOSS) of the internally corroded areas and the changes of temperature affecting the structural integrity of the equipment. The results show that for the external corrosion the values proposed for MAWP levels 1 and 2 by fitness for service still kept the pressure vessel operating at risk according to the analyzes obtained. Furthermore, the Remaining Strength Factor (RSF) is lower for internal corrosion, indicating that for these conditions, internal corrosion is most critical that the external. Finally, it is proposed a reduction of the temperature working in order to increase the RSF. This work shows that the union of the numerical analysis with the fitness for service can be used with efficiency and objectivity in similar situations like this.
metallum.com.br
RESUMO Este trabalho propõe um sistema para avaliação qualitativa do risco em oleodutos terrestre... more RESUMO Este trabalho propõe um sistema para avaliação qualitativa do risco em oleodutos terrestre, baseado na metodologia da Inspeção Baseada em Risco e na Lógica Fuzzy. Para isto desenvolveu-se uma matriz de risco associada ao transporte de petróleo ...
TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C, 2011
A novel misfire detection method for stationary internal combustion gas engines is presented. The... more A novel misfire detection method for stationary internal combustion gas engines is presented. The main aim of the proposed method is focused on statistical detection of misfire as a precursor of malfunctions of ignition systems. Use of conventional exhaust temperature sensor installed in each cylinder is proposed. Characteristic waveforms which appear in the measured sensor output are analyzed and classified if they are signs of misfire or normal fluctuations. The key factor of the proposed method is an algorithm for discrimination of waveforms. Empirical if/then rules and dynamic time warping are compared as waveform recognition methods. The former has a merit of low computational cost, whereas the latter can be designed and employed rapidly using an appropriate template wave. Data collected for three years from an actual engine in operation is used for validation and evaluation of effectiveness of the proposed method.
Revista Principia - Divulgação Científica e Tecnológica do IFPB
O slug flow em risers de extração de petróleo em águas profundas é um fenômeno amplamente conheci... more O slug flow em risers de extração de petróleo em águas profundas é um fenômeno amplamente conhecido por seu potencial destrutivo nos casos em que esse efeito se torna extremo fazendo com que a pressão se acumule e, consequentemente, origine o fluxo de pressão oscilante. Esse tipo de escoamento ocorre devido à característica multifásica na extração do óleo, formada geralmente pelas fases óleo e ar (gás). Ao longo de toda a história da extração de petróleo o controle e reconhecimento desse padrão de fluxo gera desafios a engenharia de poços, e ainda hoje o método de mitigação e controle utilizado é subjetivo e dependente da experiência do operador de sonda. A proposta deste artigo é apresentar uma ferramenta de diagnóstico utilizando inteligência artificial a partir das informações de variação de pressão (velocidades de escoamento) coletadas pelos sensores do BOP (Blow Out Preventer) para o reconhecimento do fluxo de golfadas (slugging). Para analisar o slugging em toda a sua faixa e ...
Sensors
Besides the failures that cause accidents, there are the ones responsible for preventing the car’... more Besides the failures that cause accidents, there are the ones responsible for preventing the car’s motion capacity. These failures cause inconveniences to the passengers and expose them to the dangers of the road. Although modern vehicles are equipped with a failure detection system, it does not provide an online approach to the drivers. Third-party devices and skilled labor are necessary to manage the data for failure characterization. One of the most common failures in engines is called misfire, and it happens when the spark is weak or inexistent, compromising the whole set. In this work, two algorithms are compared, based on Wavelet Multiresolution Analysis (WMA) and another using an approach performing signal analysis based on Chaos using the density of maxima (SAC-DM) to identify misfare in a combustion engine of a working automotive vehicle. Experimental tests were carried out in a car to validate the techniques for the engine without failure, with failure in one piston, and w...
Sensors, 2021
The classic monitoring methods for detecting faults in automotive vehicles based on on-board diag... more The classic monitoring methods for detecting faults in automotive vehicles based on on-board diagnostics (OBD) are insufficient when diagnosing several mechanical failures. Other sensing techniques present drawbacks such as high invasiveness and limited physical range. The present work presents a fully noninvasive system for fault detection and isolation in internal combustion engines through sound signals processing. An acquisition system was developed, whose data are transmitted to a smartphone in which the signal is processed, and the user has access to the information. A study of the chaotic behavior of the vehicle was carried out, and the feasibility of using fractal dimensions as a tool to diagnose engine misfire and problems in the alternator belt was verified. An artificial neural network was used for fault classification using the fractal dimension data extracted from the sound of the engine. For comparison purposes, a strategy based on wavelet multiresolution analysis was ...
International Journal of Mechanics and Applications, 2014
This paper presents a proposed modeling of a pressure vessel under internal and external corrosio... more This paper presents a proposed modeling of a pressure vessel under internal and external corrosion using the fitness for service (API 579). Fitness for service (FFS) assessment is a quantitative engineering evaluation of operational components. In the context of pressure vessels and piping systems, FFS assessment is performed periodically to ensure the operational safety and structural integrity. Nondestructive testing by ultrasound was used to obtain loss of thickness wall measurements for pressure vessel damaged and develop the modeling. The objective is to analyze and evaluate the values of Maximum Allowable Working Pressure (MAWP) provided by the Fitness for Service assessment using numerical thermal transient analysis using Finite Element. Results of MAWP are compared when it takes into account several variables that Fitness for Service considers, like the Future Corrosion Allowance (FCA) due to evolution of corrosion, the thickness uniform loss (LOSS) of the internally corroded areas and the changes of temperature affecting the structural integrity of the equipment. The results show that for the external corrosion the values proposed for MAWP levels 1 and 2 by fitness for service still kept the pressure vessel operating at risk according to the analyzes obtained. Furthermore, the Remaining Strength Factor (RSF) is lower for internal corrosion, indicating that for these conditions, internal corrosion is most critical that the external. Finally, it is proposed a reduction of the temperature working in order to increase the RSF. This work shows that the union of the numerical analysis with the fitness for service can be used with efficiency and objectivity in similar situations like this.
metallum.com.br
RESUMO Este trabalho propõe um sistema para avaliação qualitativa do risco em oleodutos terrestre... more RESUMO Este trabalho propõe um sistema para avaliação qualitativa do risco em oleodutos terrestre, baseado na metodologia da Inspeção Baseada em Risco e na Lógica Fuzzy. Para isto desenvolveu-se uma matriz de risco associada ao transporte de petróleo ...
TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C, 2011
A novel misfire detection method for stationary internal combustion gas engines is presented. The... more A novel misfire detection method for stationary internal combustion gas engines is presented. The main aim of the proposed method is focused on statistical detection of misfire as a precursor of malfunctions of ignition systems. Use of conventional exhaust temperature sensor installed in each cylinder is proposed. Characteristic waveforms which appear in the measured sensor output are analyzed and classified if they are signs of misfire or normal fluctuations. The key factor of the proposed method is an algorithm for discrimination of waveforms. Empirical if/then rules and dynamic time warping are compared as waveform recognition methods. The former has a merit of low computational cost, whereas the latter can be designed and employed rapidly using an appropriate template wave. Data collected for three years from an actual engine in operation is used for validation and evaluation of effectiveness of the proposed method.