Roller damage detection method based on the measurement of transverse vibrations of the conveyor belt

• Autorzy: Bortnowski Piotr , Król Robert , Ozdoba Maksymilian

Identyfikatory

DOI

10.17531/ein.2022.3.12

• Języki publikacji: EN

Abstrakty

EN

The article presents the detection of damage to rollers based on the transverse vibration signal measured on the conveyor belt. A solution was proposed for a wireless measuring device that moves with the conveyor belt along of the route, which records the signal of transverse vibrations of the belt. In the first place, the research was conducted in laboratory conditions, where a roller with prepared damage was used. Subsequently, the process of validating the adopted test procedure under real conditions was performed. The approach allowed to verify the correctness of the adopted technical assumptions of the measuring device and to assess the reliability of the acquired test results. In addition, an LSTM neural network algorithm was proposed to automate the process of detecting anomalies of the recorded diagnostic signal based on designated time series. The adopted detection algorithm has proven itself in both laboratory and in-situ tests.

Słowa kluczowe

EN

belt conveyor; conveyor belt; belt vibrations; diagnostics; roller; idler; LSTM; autoencoder

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2022
• Tom: Vol. 24, no. 3
• Strony: 510--521
• Opis fizyczny: Bibliogr. 61 poz., rys., tab.

Twórcy

autor

Bortnowski Piotr

• Wroclaw University of Science and Technology, Faculty of Geoengineering, Mining and Geology, Department of Mining, Na Grobli 15, 50–421 Wroclaw, Poland

• https://orcid.org/0000-0002-6647-6234

autor

Król Robert

• Wroclaw University of Science and Technology, Faculty of Geoengineering, Mining and Geology, Department of Mining, Na Grobli 15, 50–421 Wroclaw, Poland

• https://orcid.org/0000-0002-2529-1890

autor

Ozdoba Maksymilian

• Wroclaw University of Science and Technology, Faculty of Geoengineering, Mining and Geology, Department of Mining, Na Grobli 15, 50–421 Wroclaw, Poland

• https://orcid.org/0000-0002-3364-9442

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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).