Bearing Defects Signals Demodulation Using Shock Filters

Abstract

A fundamental problem in the development of faults detection and diagnoses methods is to obtain fault signature data as clear as is possible. This article is focused on vibration signals generated by rolling bearings with localized defects A demodulation method is presented for rolling bearings defects ignals, which is used on detection of defects signatures (frequencies). The proposed demodulation methods are based on one dimensional shock filters, which are intensively used on image processing but as two dimensional filters. Different shock filters implementations used for the demodulation method are provided together with a comparison of the results. In order to get a clearer result of the frequency localization for the rolling bearing  defects, the shock filter formalism is used together with a Gaussian filtering technique. Then, based on these approaches and on a demodulation method, an identification of the defects is obtained. The obtained results are then compared with a demodulation method which is based on the complex shock filters. The experimental results are in favor of complex shock filter approach, which we considered to be a better approach successfully applied in identification of rolling bearing defects.

Authors and Affiliations

Bogdan BETEA, Mircea-Cristian GHERMAN, Monica BORDA, Petru DOBRA

Keywords

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  • EP ID EP109100
  • DOI -
  • Views 101
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How To Cite

Bogdan BETEA, Mircea-Cristian GHERMAN, Monica BORDA, Petru DOBRA (2012). Bearing Defects Signals Demodulation Using Shock Filters. Acta Technica Napocensis- Electronica-Telecomunicatii (Electronics and Telecommunications), 53(3), 35-40. https://europub.co.uk/articles/-A-109100