Reliability Analysis to Determine Mean Time between Failures (MTBF) on Machinery

Abstract

Machinery maintenance is an activity system for maintaining, developing and maximizing all machinery facilities. To prevent damage and failure on machinery, time-based maintenance techniques are planned actions are used, but this maintenance are not effective enough to prevent failure. Thus, it is necessary to analyze machinery reliability to determine mean time between failures (MTBF). Using this method, maintenance can be done before machinery break down, which can reduce maintenance cost. This method can be perform using simple statistic as Weibull distribution, because this distribution can be used for various models of failure. Using component failures data collected at a mill, such as: explosive; broken throat-ring; lower-gate jam; plate wear; start fail; and leakage, using Weibull distribution, the result show that value of MTBF obtained from each failure as follows: broken throat-ring at 84636 hours; lower-gate jammed at 1104 hours; plate wear at 4378 hours; machine start fail at 2685 hours; and leakage at 40456 hours. Using calculation results above, maintenance should be conduct before MTBF time to keep machine work properly.