ANALISIS OIL MONITORING SEBAGAI BAGIAN PREDICTIVE MAINTENANCE UNTUK UJI KESIAPAN OPERASIONAL BIG DIGGER KOMATSU
Abstract: The performances of
the equipments are measured by overall equipment effectiveness (OEE). This
parameter consists of availability, operation reliability and product quality.
Predictive maintenance system focus on measuring the effectiveness and
availability of the vehicles used in the production process. The maintenance
system usually done its work by analysis the lubrication oil used in parts of
the vehicles. The parameters that will be analyzed are commonly consist of two
testing procedures. The first is identify the state of lubrication performance,
and the second is measuring the viscosity values of oil samples. This study try
to developt the further test for the oil samples in the form of analyze the
metal concentration consisted in. This procedure is meant to show the rate of
part wearing as the basic of concluding the PM process. The alternative method
offer maintenance cost optimation by avoiding the sudden breakdown and prolong the part lifetime. The study is
taking two type Big Digger Machine as comparator. The results show that the
common PM has conclusion to let the PC 2000 stay in the process meanwhile the
PC 4000 facing the overhaul and replacing the spareparts. The metal inclusion
testing procedure show that the PC 2000 oil samples have higher metal
concentration. It means that the PC 2000 parts need replacement more than PC
4000. The PC 4000 just need the overhaul process. This finding approve that
alternative PM give more accurate results than the common.
Penulis: Ahmad Taufiq, Nurida
Finahari, Naif Fuhaid
Kode Jurnal: jptmesindd140523
