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The present study throws light on this equipment that need a tailored maintenance schedules, partly due to the peculiar mining conditions, under which they operate. This technique also helps to identify the most critical parts/cut sets by using Fussell-Vesely (F-V) importance measure. FTA has been utilized to investigate the availability percentage of a system and observed highest percentage value as 79.51% (LH29). The deductive method called RBD was utilized to investigate the given system reliability by analyzing with graphical representations of logic system and observed highest percentage of reliability as 69.44% (LH29). Reliability of each individual subsystem has been computed according to the best fit distribution. Parametric estimation of theoretical probability distributions was made by utilizing maximum likelihood estimation (MLE) method. Allocations of best fit distribution of data sets were made by the utilization ofK-S test. Therefore renewal process approach has been utilized for further investigation. On the basis of test results, the data sets are in accordance with IID assumption.
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Independent and identical distribution (IID) assumption of data sets was validated through statistic U-test (Chi Squared test).