New approach of model based detection of early stages of fuel injector failures

• Autorzy: Mączak Jędrzej , Więcławski Krzysztof , Szczurowski Krzysztof

Identyfikatory

DOI

10.17531/ein.2023.1.6

• Języki publikacji: EN

Abstrakty

EN

The aim of the work was to develop a method of real time diagnosing electromagnetic fuel injectors using the observation of electric current parameters available in the engine control unit. Performing this task required finding a precise criterion for assessing the correct operation of an electromagnetic injector. For this purpose, a mathematical model describing the individual phases of the injector's operation was used, allowing the simulation of the occurrence of typical failures. On its basis, symptoms of particular failures were determined based on the observation of electric current parameters in the control circuit. Observation of voltage and current waveforms allows to locate both electrical and mechanical damages to the injectors and to assess the correctness of the power system components. The presented diagnostic method allows the detection of the described damages in the early stages of their development, which prevents damage to the catalytic converter and other engine systems (valves, piston rings or cylinder surfaces), i.e. damages resulting from an incorrect fuel mixture.

Słowa kluczowe

EN

electromagnetic fuel injectors; technical diagnostics; failure; fault; symptom; damage; model-based diagnosis

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2023
• Tom: Vol. 25, no. 1
• Strony: art. no. 6
• Opis fizyczny: Bibliogr. 43 poz., rys., tab., wykr.

Twórcy

autor

Mączak Jędrzej

• Warsaw University of Technology, Faculty of Faculty of Automotive and Construction Machinery Engineering, Narbutta 84, Warsaw, Poland

• https://orcid.org/0000-0002-5460-5588

autor

Więcławski Krzysztof

• Warsaw University of Technology, Faculty of Faculty of Automotive and Construction Machinery Engineering, Narbutta 84, Warsaw, Poland

• https://orcid.org/0000-0002-3004-7956

autor

Szczurowski Krzysztof

• Warsaw University of Technology, Faculty of Faculty of Automotive and Construction Machinery Engineering, Narbutta 84, Warsaw, Poland

• https://orcid.org/0000-0002-2187-5776

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).