Identification of rolling bearing condition by means of a classification tree

• Autorzy: Tabaszewski Maciej
• Języki publikacji: EN

Abstrakty

EN

The paper deals with the problem of evaluation of technical condition of rolling bearings on the basis of synchronously measured vibroacoustic symptoms and temperature. Rolling bearings were subjected to accelerated wear under controlled conditions. The values recorded in the study were sound pressure in a broad band including ultrasound (band up to 40 kHz), vibration acceleration in a radial direction, ultrasound in a band up to 100 kHz (processed into audible band), and bearing housing temperature. The identification of the condition was carried out with the help of a supervised learning system. Two conditions were distinguished: fit - examples were obtained in the initial phase of bearing operation in temperature stability conditions, and pre-failure - examples were obtained from fragments of recording just before the occurrence of bearing failure. The CART (Classification and Regression Tree) binary tree method was used to determine the technical condition and significance of particular diagnostic symptoms.

Słowa kluczowe

EN

vibroacoustic diagnostics; rolling bearings; classification tree

PL

diagnostyka wibroakustyczna; łożyska toczne; drzewo klasyfikacyjne

• Wydawca: Poznan University of Technology. Institute of Applied Mechanics
• Czasopismo: Vibrations in Physical Systems
• Rocznik: 2019
• Tom: Vol. 30, nr 2
• Strony: art. no. 2019204
• Opis fizyczny: Bibliogr. 26 poz., 1 fot., 1 rys., wykr.

Twórcy

autor

Tabaszewski Maciej

• Faculty of Mechanical Engineering and Management, Institute of Applied Mechanics, Poznan University of Technology

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).