DIAGNOSING METHOD OF SPECIFIC FAULTS’ IDENTIFYING OF GASOLINE ENGINES WITH FUEL INJECTION

Introduction. Diagnosis of car engines and systems is a complex and high-tech process. In fact, the simplest procedure of diagnostics’ process is the error status code determination from the electronic control memory unit by using the diagnostic scanner. However, such diagnosis could become complicated whether the fault appears, but the codes in the electronic control unit memory are absent. As a result, a vehicle diagnosis proceeds to the next expert diagnosis’ level, where only professionals could help adequately. For the correct diagnosis in this case, the specialist should be significantly experienced in this sphere and, therefore, it imposes a number of requirements to his qualification.

 Materials and methods. The method for determining the specific defects of the gasoline engines and their systems based on logical analysis of diagnostic parameters with the help of computer technology in the appropriate diagnostic complex is viewed in the article.

 Results and discussion. Incoming informative diagnostic parameters’ data from the scanner, oscilloscope and analyzer is processed by complex method, consisting of the integral indicators’ determining.

Сonclusion. Accordingly, it is proposed to calculate the integral indicator of failure based on the entered ternary system of measurements and, subsequently, to determine the specific fault of engine and its systems by its numerical value, as the result, providing the labor costs’ lowering for defects’ searching.

1. Bajenov Y.V., Nuzhdin R.V., Frolov V.P., Emelin S.Y. Raspoznavanie sostojanija sistemy s uchjotom razbrosa znachenij diagnosticheskih parametrov [Detection system state considering scatter diagnostic parameters]. Vladimir, VSTU, 2002. pp. 34 – 36.

2. Borshenko Ya.A., Vasiliev V.I. Povyshenie jeffektivnosti i bezopasnosti avtotransportnyh sredstv v jekspluatacii [Development of algorithms for diagnosing car systems based on the application of learning decision trees]. Sbornik nauchnyh trudov. Kurgan, KSTU, 2005. pp. 19 – 22.

3. Bushueva M.E., Belyakov V.V., Patapova M.N. Diagnostirovanie avtotraktornoj tehniki s primeneniem nechjotkih mnozhestv i nechjotkoj logiki [Diagnostics of the automotive tractor technique with the use of fuzzy sets and fuzzy logic]. Izv. Akad. inzh. nauk Ros. Federacii. 2003. no. 5, pp. 240 – 251.

4. Vasiliev V.P., Zhakin A.P., Kuznetsov V.N. Jekspluatacija i metody issledovanija sistem i sredstv avtomobil’nogo transporta [Perfection of methods for synthesis of algorithms and standards for diagnosing cars on the basis of new information technologies]. I Mezhd. nauch. konf. Tula, Izv. TGTU 2006, no. 10, pp. 196 – 199.

5. Vlasov V.M. Intellektual’nye telematicheskie sistemy dlja operativnoj ocenki tehnicheskogo sostojanija avtotransportnyh sredstv [Intelligent telematics systems for the rapid assessment of the technical state of motor vehicles]. Prikl. logistika. 2008, no. 9, pp. 28 – 32.

6. Vlasov V.M., Bogumil V.N., Zhankaziev S.V., Smirnov A.B. Primenenie intellektual’nyh telematicheskih sistem dlja operativnoj ocenki tehnicheskogo sostojanija avtotransportnyh sredstv [Application of intelligent telematic systems for the rapid assessment of technical condition of vehicles]. Avtotransportnoe predprijatie. 2007, no. 9, pp. 50 – 53.

7. Korchagin V.A., Musaelyants G.G., Pavlenko E.A. Nauchnye predposylki k sovershenstvovaniju oborudovanija dlja diagnostirovanija benzinovyh dvigatelej [Scientific preconditions for the improvement of equipment for diagnosing gasoline engines]. Mir transporta i tehnologicheskih mashin. 2010, no. 3 (30), pp. 32 – 36.

8. Korchagin V.A., Musaelyants G.G., Pavlenko E.A. Statistiko-matematicheskaja model’ korreljacionnoj svjazi diagnosticheskih parametrov dvigatelej vnutrennego sgoranija [Statistical-mathematical model of correlation correlation of diagnostic parameters of internal combustion engines]. Avtotransportnoe predprijatie. 2010, no. 4, pp. 38 – 40.

9. Makarov A.M., Pavlenko E.A. Jekspertnaja sistema kak osnova razvitija avtonomnogo diagnostirovanija avtomobil’nyh dvigatelej [Expert system as a basis for development of autonomous diagnostics of automobile engines]. Kontrol’. Diagnostika. 2009, no. 1, pp. 43 – 47.

10. Makarov A.M., Pavlenko E.A. Statisticheskie metody diagnostirovanija tehnicheskogo sostojanija avtomobil’nyhtransportnyh sredstv [Statistical methods for diagnosing the technical condition of motor vehicles]. Avtotransportnoe predprijatie. 2009, no. 7, pp. 29 – 30.

11. Malyshev V.S., Koregin A.Y. Kompleksnyj metod diagnostirovanija avtomobil’nyh dvigatelej [Complex method of diagnosing automobile engines]. Nauka i obrazovanie-2004. Materialy Mezhd. nauch. konf. Murmansk, MGTU, 2004, pp. 291 – 294.

12. Mogikin N.I., Barguev S.G. Algoritm postanovki diagnoza v slozhnoj tehnicheskoj sisteme pri pomoshhi verojatnostnyh ocenok [Algorithm for diagnosing a complex technical system using probabilistic estimates]. Vestnik KGTU. Krasnojarsk, 2006, no. 43, pp. 371 – 378.

13. Moshkin N.I. Realizacija metoda postanovki diagnoza v slozhnoj tehnicheskoj sisteme s pomoshh’ju verojatnostnyh ocenok v sostave komp’juternogo diagnosticheskogo kompleksa [Implementation of the method of diagnosis in a complex technical system using probabilistic assessments as part of a computer diagnostic complex]. Inf. tehnol. 2007, no. 8, pp. 40 – 42.

14. Musaelyants G.G., Pavlenko E.A., Sysoev D.K. Diagnosticheskij kompleks dlja vyjavlenija neispravnostej DVS sovremennyh avtomobilej [Diagnostic complex for troubleshooting ICE of modern vehicles]. Vestnik SibADI. Omsk, no. 1 (53), 2017. pp. 72 – 77.

15. Naumenko B.S. K razrabotke kompleksnoj bortovoj informacionno-izmeritel’noj sistemy dlja ocenivanija tehnicheskogo sostojanija ATS i jeffektivnosti transportnogo processa pri perevozke gruzov [To the development of a complex on-board information-measuring system for assessing the technical condition of MV and the efficiency of the transport process in the transport of goods]. Sb. nauch. tr. Ser. Estestvennopauch. Sev.-Kavkaz. gos. tehn. un-t. 2001, no. 4, pp. 55 – 61.

16. Patent RF no. 2475717. A method for diagnosing an internal combustion engine and a diagnostic complex for its implementation. Bul. no. 5, 2013.

17. Patent RF no. 2475717. Method for diagnosing the internal combustion engine. Bul. no. 5, 2015.

18. Sosonin D.A., Yakovlev V.F. Novejshie avtomobil’nye jelektronnye sistemy [Newest automotive electronic systems]. Uchebn. posobie. Moscow, SOLON – Press, 2005. 240 p.

19. Sarkisov A.A., Vlasov D.V., Dianov V.N. Dianov V.N. Intellektual’naja diagnostika sboev avtomobil’nyh datchikov [Intellectual diagnostics of failures of automobile sensors]. EET: Elektron. elektrooborud. transp. 2004, no. 3 – 4, pp. 46 – 52.

20. Yastrebov A.I., Gavrikov A.I. Komp’juternaja sistema diagnostiki jelektricheskogo oborudovanija avtomobilja, osnovannaja na modeljah iskusstvennogo intellekta [Computer system for diagnosing electrical equipment of a car, based on models of artificial intelligence]. Avtomobil’ i tehnosfera. IV Mezhd. nauch. konf. Kazan’. KGTU. 2005. pp. 319 – 321.