Vibration Monitoring to Predict Spindle Bearing Damage on CNC Machines using Outseal PLC and SCADA at PT SKY LINE JAYA

Wicaksana, Anggara Putra (2025) Vibration Monitoring to Predict Spindle Bearing Damage on CNC Machines using Outseal PLC and SCADA at PT SKY LINE JAYA. Jurnal Teknologi Terapan, 9 (3). pp. 1376-1386. ISSN 2580-8737

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Abstract

PT Sky Line Jaya is a company engaged in modern manufacturing that will use modern technology in the production process. One of the technologies used is the use of CNC router machines. Continuous use of CNC router machines has a weakness in spindle bearings that are easily damaged. The spindle bearing vibration monitoring system of CNC router machines is needed to predict spindle bearing damage so that production defects can be avoided. The higher the bearing vibration, the CNC router machine cannot work optimally. The higher the bearing vibration frequency, the more it can be assumed that the bearing is damaged. The permissible bearing vibration frequency is below 60 Hz, above that frequency it is considered damaged. The Hansford HS-420 vibration sensor with ladder programming using PLC Outseal has an error of 1.3% so it has good accuracy for use in vibration monitoring systems on CNC router machines at PT Sky Line Jaya. Haiwell Cloud SCADA can display the vibration of the CNC router machine spindle bearing well and has industry standard reliability that can be used non-stop 24 hours at PT Sky Line Jaya.

Item Type:	Article
Uncontrolled Keywords:	Vibration, Spindle Bearing, CNC Router Machine, Outseal PLC, Haiwell Cloud SCADA
Subjects:	Engineering > Electronical Engineering Engineering
Divisions:	Faculty of Engineering > Electronical Engineering Study Program
Depositing User:	Anggara Putra Wicaksana
Date Deposited:	24 Nov 2025 09:59
Last Modified:	24 Nov 2025 09:59
URI:	http://eprints.umg.ac.id/id/eprint/15236

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