Development of a Non Intrusive Method for the Diagnosis of the Combustion System of a Small Direct Injection Diesel Engine.

Cruz-Peragón, Fernando; Carvajal-Trujillo, Elisa; Barco, J. Cantandor; Castilla, Alejandro; Aguilar, Francisco José Jiménez-Espadafor; Muñoz, Antonio; Lencero, Tomás Sánchez

doi:10.4271/2001-01-1790

Cited by 4 publications

(6 citation statements)

References 9 publications

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“…First, the pressure in one cylinder is obtained from a combustion and gas exchange submodel, based on the first law of thermodynamics applied to the limits of the combustion chamber. It was also considered to be a no-swirl and single-zone type. , The main component of this model is the mass fraction burned, by means of Wiebe's function, obtained from the parameters of Table , which originates the heat release rate from the fuel. The kind of engine and the mass fuel consumption per cylinder and cycle ( M C ) are also two important parameters.…”

Section: Methodsmentioning

confidence: 99%

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A Genetic Algorithm for Determining Cylinder Pressure in Internal Combustion Engines

Cruz-Peragón

Aguilar

2007

Energy Fuels

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In this paper, a genetic-algorithm- (GA-) based method has been developed to determine the instantaneous pressure in cylinders of internal combustion engines. Some parameters associated with a pressure curve in each cylinder are optimized from two validated submodels which reproduce the engine behavior using a genetic algorithm. In this process, the profile of both measured and modeled instantaneous angular speeds of the engine are compared. According to a typical design of a genetic algorithm, different operators, such as the selection process, crossover, and mutation, have been evaluated and applied over theoretical data. The best results define the adopted GA structure, and it is applied to three different engines: single-cylinder diesel engine(DE), three-cylinder spark ignition engine, and a 16-cylinder vee power plant diesel engine. This algorithm makes it possible to estimate a good quality pressure profile in cylinders for any kind of engine (operation basis and the number and disposition of cylinders), using indirect measurements and low-cost equipment.

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Section: Methodsmentioning

confidence: 99%

“…The most important issue is a discontinuity on the top dead center (TDC) of the engine that prevents the knowledge of some important points in the cycle. So, the inverse problem is developed by an optimization procedure over the direct problem (angular speed from pressures). , …”

Section: Introductionmentioning

confidence: 99%

A Genetic Algorithm for Determining Cylinder Pressure in Internal Combustion Engines

Cruz-Peragón

Aguilar

2007

Energy Fuels

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“…For the training of these networks, two submodels are used for speed−pressure estimation . The direct problem consists of determining the instantaneous angular speed from the pressure in cylinders and a dynamic submodel.…”

Section: Methodsmentioning

confidence: 99%

Design and Optimization of Neural Networks To Estimate the Chamber Pressure in Internal Combustion Engines by an Indirect Method

Cruz-Peragón

Aguilar

2007

Energy Fuels

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A particular type of artificial neural network (ANN), with the aim of estimating the indicated pressure into cylinders from instantaneous angular speed measurement, has been developed: radial basis function (RBF). This is the main component of a methodology where input and output curves are parametrized. A modified RBF network from its general structure is designed to reduce the size of the network, approaching the hidden layer weights by means of polynomial functions. It makes it possible to use it in medium requirement PCs, such as in automobile applications. Results corresponding to different operating conditions of a single-cylinder diesel engine (DE), a three-cylinder spark ignition engine (SIE), and a 16-cylinder vee power plant DE (V-16 DE) are presented. Results show the accuracy and fast response of the network, making it feasible to use in online diagnostics and control systems in engines, with very low cost (removing the use of piezoelectric sensors).

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“…In this sense, eq 1.a can be assessed in the time domain or, for more convenience, in the crank angle domain. 8 In addition to the heat release rate submodel, the overall model incorporates the following criteria: 31,34 (i) Wall heat transfer losses, through a validated correlation.…”

Section: Parametric Combustion Submodelmentioning

confidence: 99%

“…In addition to the heat release rate submodel, the overall model incorporates the following criteria: , …”

Section: Introductionmentioning

confidence: 99%

Influence of a Combustion Parametric Model on the Cyclic Angular Speed of Internal Combustion Engines. Part I: Setup for Sensitivity Analysis

et al. 2009

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Combustion parameters evaluation presents an important application to engines failures diagnosis. The most extended parametric procedure to describe combustion processes in internal combustion engines is based on the Wiebe's function and depends on the rate of heat release of the fuel (ROHR) and several input parameters. When a combustion model is used for indirect identification and optimization processes, the simulation of both profiles, cyclic pressure and speed, must guarantee an accurate estimation of ROHR through convenient curves estimation. However, in case some input parameters of the combustion model are unknown, several solutions will show up. To fix this problem, a combustion parametric model is proposed. In this work, the necessity of establishing the correlation between the combustion model input parameters, the engine dynamic response (cyclic angular speed), and the interrelation between them, has been demonstrated. This correlation is considered the starting point that will allow the performance of a further sensitivity analysis of the response in terms of combustion, thus optimizing the combustion model in search of unique solutions. The study has been carried out in both a single-cylinder direct-injection (DI) compression ignition engine (CIE) and a threecylinder spark ignition engine (SIE). Data associated to the angular speed profile have been adopted as output parameters of the engine, while combustion-related ones have been considered input parameters. Results showed that, for further sensitivity analysis and model optimization, evaluation of the influence of combustion parameters over the engine angular speed is extremely important, if indirect modeling is applied. The best way to assess the relation between input and output variables is by a sensitivity analysis through a previous design of experiments.

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Development of a Non Intrusive Method for the Diagnosis of the Combustion System of a Small Direct Injection Diesel Engine.

Cited by 4 publications

References 9 publications

A Genetic Algorithm for Determining Cylinder Pressure in Internal Combustion Engines

A Genetic Algorithm for Determining Cylinder Pressure in Internal Combustion Engines

Design and Optimization of Neural Networks To Estimate the Chamber Pressure in Internal Combustion Engines by an Indirect Method

Influence of a Combustion Parametric Model on the Cyclic Angular Speed of Internal Combustion Engines. Part I: Setup for Sensitivity Analysis

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