Diagnostics of the drive shaft bearing based on vibrations in the high-frequency range as a part of the vehicle's self-diagnostic system

• Autorzy: Nowakowski Tomasz , Komorski Pawel

Identyfikatory

DOI

/10.17531/ein.2022.1.9

• Języki publikacji: EN

Abstrakty

EN

Currently, one of the trends in the automotive industry is to make vehicles as autonomous as possible. In particular, this concerns the implementation of complex and innovative selfdiagnostic systems for cars. This paper proposes a new diagnostic algorithm that evaluates the performance of the drive shaft bearings of a road vehicle during use. The diagnostic parameter was selected based on vibration measurements and machine learning analysis results. The analyses included the use of more than a dozen time domain features of vibration signal in different frequency ranges. Upper limit values and down limit values of the diagnostic parameter were determined, based on which the vehicle user will receive information about impending wear and total bearing damage. Additionally, statistical verification of the developed model and validation of the results were performed.

Słowa kluczowe

EN

self-diagnostic system; vibration; vehicles; signal processing methods; decision tree

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2022
• Tom: Vol. 24, no. 1
• Strony: 70--79
• Opis fizyczny: Bibliogr. 43 poz., rys., tab.

Twórcy

autor

Nowakowski Tomasz

• Poznan University of Technology, Faculty of Civil and Transport Engineering, Institute of Transport, ul. Piotrowo 3, 61-138 Poznań, Poland

• https://orcid.org/0000-0001-5415-7052

autor

Komorski Pawel

• Poznan University of Technology, Faculty of Civil and Transport Engineering, Institute of Transport, ul. Piotrowo 3, 61-138 Poznań, Poland

• https://orcid.org/0000-0003-3213-3855

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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).