Penerapan Predictive Maintenance Equipment Prioritas Mesin Electro Static Painting Dengan Menggunakan Metode Pemantauan Kuat Arus
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Institusion
Universitas Muhammadiyah Surakarta
Author
Ariyana, Yuniar Listiya
, Much. Djunaidi ST., MT.
, Much. Djunaidi ST., MT.
Subject
TI Industrial Engineering
Datestamp
2022-05-18 03:37:07
Abstract :
Electro Static Painting (ESP) is a painting machine at PT. XYZ. The Electro Static Painting machine has the most critical equipment, that is motor exhaust impeller. The motor exhaust impeller is used to move the impeller in sucking air and paint on the spray both ESP machine. The application of predictive maintenance is a treatment by predicting the occurrence of failures that occur in the motorcycle exhaust impeller. The results of the current monitoring data, obtained the classification of the current motor exhaust impeller, it is low current, medium current and peak. the current value at low current is 9-9.4, medium current is 9.4-9.9 and peak current is 9.9-10.3. Maintenance that needs to be done when the current is at peak current. Implementation of predictive maintenance with 2 steps. The first step is monitor current where monitoring is carried out 406.3 hours after maintence. The second step is to carry out maintenance when peak current.
Electro Static Painting (ESP) is a painting machine at PT. XYZ. The Electro Static Painting machine has the most critical equipment, that is motor exhaust impeller. The motor exhaust impeller is used to move the impeller in sucking air and paint on the spray both ESP machine. The application of predictive maintenance is a treatment by predicting the occurrence of failures that occur in the motorcycle exhaust impeller. The results of the current monitoring data, obtained the classification of the current motor exhaust impeller, it is low current, medium current and peak. the current value at low current is 9-9.4, medium current is 9.4-9.9 and peak current is 9.9-10.3. Maintenance that needs to be done when the current is at peak current. Implementation of predictive maintenance with 2 steps. The first step is monitor current where monitoring is carried out 406.3 hours after maintence. The second step is to carry out maintenance when peak current.
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