A Research on Fault Diagnosis of Rolling Bearing in Printing Press Based on Empirical Wavelet Transform and Symbolization

Abstract

The printing unit is the key part and an ink transfer is realized here during the printing process. It integrates a series of roller systems, thus there are complex vibration characteristics. The failure of rolling bearings in the printing unit is analyzed to improve the overall stability and reliability of printing equipment. In order to improve the stability and reliability, the fault diagnosis of rolling bearing in printing units is realized in this work. The main research contents are as follows. Firstly, Adaptive analysis of signals was realized based on empirical wavelet transform (EWT) to obtain the AM-FM components of the fault signal. Secondly, the law of extreme value in each component was analyzed and expressed with a symbolic method, and an entropy feature based on the extreme values is proposed. Third, the experiment of rolling bearings in ink rollers was taken and different faults of bearings in printing press was successfully identified. The advantages in EWT and symbolization were used in this work, also the theory of information entropy. The proposed method has a strong ability in fault expression and has an value in engineering application.