Tuning second order cyclostationarity parameters for the diagnostics of rolling element bearings

Pennacchi, P., Borghesani, P., Chatterton, S., & Ricci, R. (2011) Tuning second order cyclostationarity parameters for the diagnostics of rolling element bearings. In Segl'a, S., Tuma, J., Petrikova, I., Pesek , L., Zampomel, J., Kruisova, A., et al. (Eds.) Proceedings of the 10th International Conference on Vibration Problems, Diplomat Hotel, Prague, Czech Republic , pp. 453-458.

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Abstract

Failures on rolling element bearings usually originate from cracks that are detectable even in their early stage of propogation by properly analyzing vibration signals measured in the proximity of the bearing. Due to micro-slipping in the roller-races contact, damage-induced vibration signals belong to the family of quasi-periodic signals with a strong second order cyclostationary component. Cyclic coherence and its integrated form are widely considered as the most suitable tools for bearing fault diagnostics and their theoretical bases have been already consolidated. This paper presents how to correctly set the parameters of the cyclostationary analysis tool to be implemented in an automatable algorithm. In the first part of the paper some general guidelines are provided for the specific application. These considerations are further verified, applying cyclostationary tools to data collected in an experimental campaign on a specific test-rig.

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ID Code: 74411
Item Type: Conference Paper
Refereed: No
Additional URLs:
Keywords: Bearing diagnostics , 2nd order cyclostationarity , Bearing characteristic frequencies, Cyclic coherence , Integrated cyclic coherence
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300) > Dynamics Vibration and Vibration Control (091304)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 28 Jul 2014 01:28
Last Modified: 29 Jul 2014 00:08

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