Diagnostic sonance: sound-based approach to assess engine ball bearing health in automobiles

• Autorzy: Shajie Debie , Juliet Sujitha , Ezra Kirubakara , Annie Flora J Blessy

Identyfikatory

DOI

10.15199/48.2024.07.16

Warianty tytułu

PL

Sonance diagnostyczne: podejście oparte na dźwięku do oceny stanu łożysk kulkowych silnika w samochodach

• Języki publikacji: EN

Abstrakty

EN

Induction motors have been extensively used in the automobile industry. This paper introduces an innovative sound-based Engine Classification method to identify the defects in engine ball-bearing. We employ sound-based sound component extraction techniques to identify recurring patterns over time. Our research uses the NASA-bearing dataset and proposes enhancements to Resnet and Hybrid CNN Models. We gain invaluable insights into the method’s performance with good accuracy rates.

PL

Silniki indukcyjne są szeroko stosowane w przemyśle samochodowym. W artykule przedstawiono innowacyjną metodę klasyfikacji silników opartą na dźwięku, pozwalającą na identyfikację uszkodzeń łożysk kulkowych silnika. Stosujemy techniki ekstrakcji komponentów dźwięku w oparciu o dźwięk, aby zidentyfikować powtarzające się wzorce w czasie. W naszych badaniach wykorzystujemy zbiór danych NASA i proponujemy ulepszenia modeli Resnet i hybrydowych CNN. Uzyskujemy bezcenne informacje na temat wydajności metody przy dobrych wskaźnikach dokładności.

Słowa kluczowe

EN

sound based audio classification; health; engine ball bearing; automobile

PL

klasyfikacja dźwięku oparta na dźwięku; zdrowie; łożysko kulkowe silnika; samochód

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2024
• Tom: R. 100, nr 7
• Strony: 72--76
• Opis fizyczny: Bibliogr. 30 poz., rys., tab.

Twórcy

autor

Shajie Debie

• Karunya Institute of Technology and Sciences, Coimbatore, India

• https://orcid.org/0000-0001-8983-2409

autor

Juliet Sujitha

• Karunya Institute of Technology and Sciences, Coimbatore, India

• https://orcid.org/0000-0001-6214-9431

autor

Ezra Kirubakara

• Grace College of Engineering Tiruchendur,Thoothukudi, India.

autor

Annie Flora J Blessy

• Karunya Institute of Technology and Sciences, Coimbatore, India

• https://orcid.org/0000-0003-2904-4528

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).