Formation of a set of parameters for assessing the technical condition of autonomous power plants

Abstract. Problem. The object of study is the problem of creating a relatively simple diagnostic model of a diesel engine for an autonomous power plant in terms of the number of required input parameters. Goal.The aim of the study is to develop a diesel engine diagnostic system for an autonomous power plant. Methodology. To achieve this goal, the following tasks were solved: - to develop a method for synthesising a diagnostic graph model of a diesel engine for an autonomous power plant; - to propose a method for selecting the initial parameters of the diagnostic graph model of a diesel engine.The subject of the study is the relationship between the selected set of input parameters of the diagnostic model of a diesel engine and the adequacy of the response of the resulting model to real emergency situations. Results. As a result of the study, a methodology for synthesising a diagnostic graph model of a diesel engine of an autonomous power plant has been developed. The resulting model allows monitoring the performance of a diesel engine and adjusting the relevant parameters to achieve the required operating state or localise an emergency. Originality. The proposed method of synthesis of a diagnostic graph model of a diesel engine of an autonomous power plant, based on the use of the graph theory method, allows obtaining results that correspond to the actual state of operation of a diesel engine of a power plant with relative simplicity of use. This is achieved by using specially selected groups of diesel power control parameters as diagnostic parameters of the graph model. These indicators are available for measurement without significant dismantling and installation work, the use of complex measuring instruments, but can be measured during routine maintenance and operation. A methodology for selecting the output parameters of a diagnostic graph model of a diesel engine is proposed, which includes the process of forming the minimum required sample of parameters of diesel engine operation. Practical value. The following parameters have been selected as parameters for assessing the technical condition of power plant diesel engines and functionally related systems and circuits: power plant capacity; diesel crankshaft rotation frequency; fuel consumption; and a group of thermal parameters. This minimum required set of system state parameters makes it possible to link the diagnostic scheme for the studied technical condition of power plant diesel engines with their operational performance

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Publication Details

Journal
Bulletin of Kharkov National Automobile and Highway University
Published
2024-12-26
DOI
https://doi.org/10.30977/bul.2219-5548.2024.107.0.88
Primary Topic
Technical Engine Diagnostics and Monitoring
Type
article
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Formation of a set of parameters for assessing the technical condition of autonomous power plants

Igor Maslov
Bulletin of Kharkov National Automobile and Highway University
Technical Engine Diagnostics and Monitoring
article

Formation of a set of parameters for assessing the technical condition of autonomous power plants

Igor Maslov
article en

Abstract

Abstract. Problem. The object of study is the problem of creating a relatively simple diagnostic model of a diesel engine for an autonomous power plant in terms of the number of required input parameters. Goal.The aim of the study is to develop a diesel engine diagnostic system for an autonomous power plant. Methodology. To achieve this goal, the following tasks were solved: - to develop a method for synthesising a diagnostic graph model of a diesel engine for an autonomous power plant; - to propose a method for selecting the initial parameters of the diagnostic graph model of a diesel engine.The subject of the study is the relationship between the selected set of input parameters of the diagnostic model of a diesel engine and the adequacy of the response of the resulting model to real emergency situations. Results. As a result of the study, a methodology for synthesising a diagnostic graph model of a diesel engine of an autonomous power plant has been developed. The resulting model allows monitoring the performance of a diesel engine and adjusting the relevant parameters to achieve the required operating state or localise an emergency. Originality. The proposed method of synthesis of a diagnostic graph model of a diesel engine of an autonomous power plant, based on the use of the graph theory method, allows obtaining results that correspond to the actual state of operation of a diesel engine of a power plant with relative simplicity of use. This is achieved by using specially selected groups of diesel power control parameters as diagnostic parameters of the graph model. These indicators are available for measurement without significant dismantling and installation work, the use of complex measuring instruments, but can be measured during routine maintenance and operation. A methodology for selecting the output parameters of a diagnostic graph model of a diesel engine is proposed, which includes the process of forming the minimum required sample of parameters of diesel engine operation. Practical value. The following parameters have been selected as parameters for assessing the technical condition of power plant diesel engines and functionally related systems and circuits: power plant capacity; diesel crankshaft rotation frequency; fuel consumption; and a group of thermal parameters. This minimum required set of system state parameters makes it possible to link the diagnostic scheme for the studied technical condition of power plant diesel engines with their operational performance

Bulletin of Kharkov National Automobile and Highway University(107)
Affordable and clean energy
Openalex Percentile: Top 73%
Technical Engine Diagnostics and Monitoring
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