Development of automated test system for diesel engines based on fuzzy logic

Galiullin, Lenar Ajratovich

doi:10.1109/icieam.2016.7911582

Cited by 9 publications

(1 citation statement)

References 14 publications

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“…To obtain output values, a fuzzy controller uses fuzzy rules that are located in the "knowledge base" block [14]. As a result, a sequence of control parameters is formed, which is stored in the "database of images and test programs" [15]. On the basis of the resulting data, the "control unit" performs direct testing.…”

Section: Introductionmentioning

confidence: 99%

Intellectual Test System for Internal Combustion Engines

Galiullin¹,

Khuzyatov²

2019

helix

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An integral part of the complex process of creating, improving and producing internal combustion engines are testing them. This is explained by the fact that only during testing you can determine the overall technical and economic efficiency of the engine created or upgraded, the actual loads on its parts and assemblies, as well as the correctness of the production technology of serial engines. Mathematical models of engines based on differential equations, tabular structure and artificial intelligence are considered. Among the methods of artificial intelligence highlighted fuzzy logic, allowing better describe the process of controlling the internal combustion engine. The object of control is a test bench with an installed engine and technological equipment, providing testing. Depending on the type of testing, the composition of the equipment interacting with system and the technology of testing can vary. Tests are among the most responsible and time-consuming stages of the life cycle of the engine. At this stage, the final assessment of the structure is carried out, its compliance with technical and technological requirements is determined.

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Section: Introductionmentioning

confidence: 99%