Open AccessIntelligent multisensor system for identification ta estimates of the technical mill of electrical engineering
Author(s) -
Stefan Zaichenko,
Natalia Jukova,
Dmytro Yakovlev,
Vadym Shalenko,
Борис Корнійчук
Publication year - 2021
Publication title -
gìrničì, budìvelʹnì, dorožnì ta melìorativnì mašini
Language(s) - English
Resource type - Journals
eISSN - 2709-6149
pISSN - 2312-6590
DOI - 10.32347/gbdmm2021.97.0501
Subject(s) - internal combustion engine , generator (circuit theory) , electric generator , electric power , combustion , automotive engineering , computer science , control engineering , power (physics) , process engineering , mechanical engineering , engineering , chemistry , physics , organic chemistry , quantum mechanics
The problem of diagnosing power generating equipment by analyzing gases released into the atmosphere. The object of study is the process of diagnosing power generating equipment based on an internal combustion engine.
The purpose of the work is the research is to develop the concept of the structure of the intellectual multisensory system of technical diagnostics of the autonomous electric generator on the basis of the internal combustion engine with use of electronic gas analyzers.
To achieve this goal, the following tasks have been solved. To determine the possible states of the autonomous generator of electric energy on the basis of the internal combustion engine. For each state of the autonomous generator of electric energy to define characteristic gas evaporations. Choose a set of sensors that will determine the con-centration of components in the air with high accuracy. To develop an algorithm for the operation of a set of technical diagnostic equipment for the basic work of the principles of the neural system and electronic gas sensors. To check the developed diagnostic complex of electronic gas analyzers for determination of a condition of the independent generator of electric energy on the basis of the internal combustion engine.
Improving the accuracy of localization in the search for a defect by additional chemical analysis of gases of power generating equipment is provided by the analysis of concentrations of hydrogen chloride, aldehydes, phenols and light hydrocarbons.
A feature of the presented system for diagnosing the state of an autonomous electric power generator based on an internal combustion engine is the ability to perform diagnostic work without removing the equipment from work, which minimizes downtime. Also, the use of this system allows you to detect the development of a defect in the early stages of development, which prevents and significantly reduces the cost of repairing the energy source.