Bearing Fault Prediction System Design Based on LabVIEW
Wu Guoqing*, Luo Yiping, Ren Hongjuan
Identifiers and Pagination:Year: 2015
First Page: 246
Last Page: 250
Publisher Id: TOMEJ-9-246
Article History:Received Date: 8/1/2015
Revision Received Date: 15/1/2015
Acceptance Date: 16/1/2015
Electronic publication date: 17/4/2015
Collection year: 2015
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
High-precision machine tools are important equipment of production line in general . However, it is too difficult to do failure prediction and maintenance of the spindle bearings. Equipment utilization will be decreased if the damaged bearing is not replaced in time. This paper designed a set of bearing failure prediction system based on LabVIEW programming environment, according to the requirement for the maintenance of spindle bearing on production line. The system will predict the bearing failure through the analysis of the size precision of the parts. The system mainly consists of two parts, data acquisition system and data analysis system. It achieves the following functions: data analysis and calculation, data display and storage, system failure alarms, etc.