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Title:Processing and analysis on vibration signal for press based on wavelet analysis
Authors: Yu Tao Liu Guodong Li Jinyao Fu Jifa Yu Rongrong 
Unit: Shandong University of Science and Technology 
KeyWords: press Matlab wavelet analysis  fault diagnosis vibration signal 
ClassificationCode:TH17
year,vol(issue):pagenumber:2022,47(2):152-157
Abstract:

 With the increasing of use time for press, the fault problem of press occur frequently, which seriously affects the normal production of the factory. In order to solve this problem, the fault diagnosis of press was conducted by analyzing the vibration signal of press. For crank press JM21-160, the method of simply and accurately extracting the fault characteristics was studied by software Matlab. Based on the experimental data of the actual press, a simple method was proposed to process data by wavelet denoising and time-frequency conversion, which was based on Matlab wavelet toolbox, and the validity of this method was verified by contrast and analysis on the spectrums before and after data denoising. The result shows that this method can simplify and extract data to analyze the frequency characteristics of press fault and has reference value for press vibration signal processing and analysis in the production site.

Funds:
青年科学基金资助项目(52005302)
AuthorIntro:
作者简介:于涛(1972-),男,博士,教授,E-mail:yutaosang@163.com;通信作者:于蓉蓉(1990-),女,博士,讲师,E-mail:rongrongyu19@sdust.edu.cn
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