Fault detection and diagnosis of linear bearing in auto core adhesion mounting machines based on condition monitoring

被引：15
|
作者：
Chommuangpuck, Prathan [1 ,2 ]
Wanglomklang, Thanasak [1 ]
Srisertpol, Jiraphon [1 ]
机构：
[1] Suranaree Univ Technol, Inst Engn, Sch Mech Engn, Nakhon Ratchasima, Thailand
[2] Western Digital Thailand Co Ltd, Phra Nakhon Si Ayutthaya, Thailand
来源：
SYSTEMS SCIENCE & CONTROL ENGINEERING | 2021年 / 9卷 / 01期
关键词：
Fault detection and diagnosis; linear bearing; analysis of variance; spectrum analysis; crest factor; motor current;
D O I：
10.1080/21642583.2021.1895901
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This study aims to increase machine reliability thereby preventing product defects from adhesive dispense and slider attachment by a fault detection and diagnostic technique. The experiment was set up to investigate the vibration signal and motor current. Six fault conditions of a linear bearing were set up. The approaches, including spectrum analysis, crest factor, and analysis of variance, are used for data analysis. It was found that the spectrum analysis was suitable for classifying the frequency domains and the statistics tool was successful in measuring the current. Fault detection and diagnosis results can forecast the status of the linear bearings.
引用
收藏
页码：290 / 303
页数：14
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