BEARINGS FAULT CLASSIFICATIONS BY USING FUZZY ENTROPY

摘要

Vibrations generated by oscillations of a mechanical machinery are able to encode some information about its possible defects, together with their types and severity degrees. Though vibration is not as complex as speech or seismic signals, to decode such an information is not an easy attempt. The goal of this paper is to introduce a non conventional method to extract information about defects in bearings, based on some statistical and fuzzy concepts.