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

Autor:	Prathan Chommuangpuck, Thanasak Wanglomklang, Jiraphon Srisertpol
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	fault detection and diagnosis linear bearing analysis of variance spectrum analysis crest factor motor current Control engineering systems. Automatic machinery (General) TJ212-225 Systems engineering TA168
Zdroj:	Systems Science & Control Engineering, Vol 9, Iss 1, Pp 290-303 (2021)
Druh dokumentu:	article
ISSN:	2164-2583 21642583
DOI:	10.1080/21642583.2021.1895901
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/ee19695a14bc4a12bc6ba448c3362111 Zobrazit plný text záznamu View record in DOAJ