Early detection of bearing damage by means of decision trees

• Autorzy: Kilundu B. , Dehombreux P. , Letot Ch. , Chiementin X.
• Języki publikacji: EN

Abstrakty

EN

This paper presents a procedure for early detection of rolling bearing damages on the basis of vibration measurements. First, an envelope analysis is performed on bandpass filtered signals. For each frequency range, a feature indicator is defined as sum of spectral lines. These features are passed through a principal component model to generate a single variable, which allows tracking change in the bearing health. Thresholds and rules for early detection are learned thanks to decision trees. Experimental results demonstrate that this procedure enables early detection of bearing defects.

Słowa kluczowe

EN

damage detection; bearing damage; envelope detection; decision tree; preventive maintenance

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2009
• Tom: Vol. 3, No. 3
• Strony: 70--74
• Opis fizyczny: Bibliogr. 13 poz.,rys.

Twórcy

autor

Kilundu B.

autor

Dehombreux P.

autor

Letot Ch.

autor

Chiementin X.

• Pôle Risques, Faculté Polytechnique de Mons, rue du Joncquois, 53 B-7000 Mons, Belgium.,

Bibliografia

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