Designing a fault finding algorithm for remote diagnostics
https://doi.org/10.26897/2687-1149-2022-6-20-24
Abstract
Remote diagnostics of vehicles is currently becoming increasingly widespread. The application of this concept will allow analyzing data from pre-installed sensors, without interfering with the vehicle design, doing it remotely and displaying only the necessary information to maintain the proper level of the vehicle’s technical condition. To develop an algorithm for remote diagnostics carried out during the operation of machinery without installing additional sensors on the engine, using diagnostic indicators, the retardation method, and monitoring fuel consumption rate, the authors carried out the engine diagnostics at the idling speed. To analyse the technical state of the engine and to test the developed algorithm, two faults were intentionally sequentially introduced: air inlet resistance (“Clogged filter”) and no fuel supply into the cylinder (“Faulty injector”). The developed algorithm aims at distinguishing faults in the internal combustion engine associated with mechanical losses and the deterioration of its technical and economic performance. An experimental installation on the basis of the diesel engine of internal combustion IVECO F4HE9687P*J101 was used for approbation of the developed algorithm. This installation can examine the operation of technically serviceable engines having intentionally introduced defects. The experimental results have proved the adequacy of the developed diagnostic algorithm and the feasibility of its introduction.
About the Authors
V. N. ShchukinaRussian Federation
VARVARA N. SHCHUKINA, PhD (Eng)
49 Timiryazevskaya Str., Moscow, 127550
S. N. Devyanin
Russian Federation
SERGEY N. DEVYANIN, DSc (Eng), Professor
49 Timiryazevskaya Str., Moscow, 127550
S. P. Kazantsev
Russian Federation
SERGEY P. KAZANTSEV, DSc (Eng), Professor
49 Timiryazevskaya Str., Moscow, 127550
N. V. Perevozchikova
Russian Federation
NATALIA V. PEREVOZCHIKOVA, PhD (Eng), Associate Professor
49 Timiryazevskaya Str., Moscow, 127550
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Review
For citations:
Shchukina V.N., Devyanin S.N., Kazantsev S.P., Perevozchikova N.V. Designing a fault finding algorithm for remote diagnostics. Agricultural Engineering (Moscow). 2022;24(6):20-24. (In Russ.) https://doi.org/10.26897/2687-1149-2022-6-20-24