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Data Analysis for Predictive Maintenance of Servo Motors

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dc.contributor.authorATAKÖK, GÜRCAN
dc.contributor.authorsGirit, Oguz; Atakok, Gurcan; Ersoy, Sezgin
dc.date.accessioned2022-03-14T10:53:22Z
dc.date.available2022-03-14T10:53:22Z
dc.date.issued2020-09-11
dc.description.abstractVibration and temperature data of a servo motor are analyzed with PLC which is widely used in the industry. With this system, power supply can be detected on the servo motors. In this way, undesirable situations such as disruptions in production and productivity loss can be prevented from occurring. It is an important problem for businesses to detect malfunctions that may occur in servo motor dysfunction. Previously, methods such as ultrasonic sound measurements, thermal cameras, endoscopy equipment, and energy analysis have been used and discussed in the literature. Our study offers a PLC-based vibration and temperature measurement system designed as a solution of this problem. In this system, vibration and temperature measurements were made while the servo motor was kept running. These measurements were measured with or without load, considering the operating ranges of the servo motor, and the compatibility of the data was evaluated.
dc.identifier.doi10.1155/2020/8826802
dc.identifier.eissn1875-9203
dc.identifier.issn1070-9622
dc.identifier.urihttps://hdl.handle.net/11424/245316
dc.identifier.wosWOS:000574416100001
dc.language.isoeng
dc.publisherHINDAWI LTD
dc.relation.ispartofSHOCK AND VIBRATION
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectTORSIONAL VIBRATIONS
dc.subjectDIAGNOSIS
dc.titleData Analysis for Predictive Maintenance of Servo Motors
dc.typearticle
dspace.entity.typePublication
local.avesis.ide2d67b46-d1a8-47ba-a24a-7c60dcbb21d5
local.import.packageSS16
local.indexed.atWOS
local.indexed.atSCOPUS
local.journal.articlenumber8826802
local.journal.numberofpages10
local.journal.quartileQ3
oaire.citation.titleSHOCK AND VIBRATION
oaire.citation.volume2020
relation.isAuthorOfPublicatione9ada35f-eed6-4a84-a306-768bbde7df6b
relation.isAuthorOfPublication.latestForDiscoverye9ada35f-eed6-4a84-a306-768bbde7df6b

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