Fault detection and diagnosis of linear bearing in auto core adhesion mounting machines based on condition monitoring
Autor: | Prathan Chommuangpuck, Thanasak Wanglomklang, Jiraphon Srisertpol |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: | |
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 |
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