Evolution of the probability distribution function of shovel–dumper combination in open cast limestone mine using RWB and ANN: a case study

Abstract

This newsletter affords a new analytic calculation for the shovel–dumper combination in open cast limestone mine evolution of the only and two galaxy probability density function (PDF). To broaden a nonparametric PDF for a combination of shovel and dumper in an open cast limestone mine, the ancient failure statistics which includes time between failure (TBF) of a shovel and dumpers had been accumulated from the mine. Primarily based on the collected TBF, Weibull parameters which include the shape parameter (?), scale parameter (?), and location parameter (?) have been calculated under the K–S test (Kolmogorov–Smirnov test) using Isograph Reliability Workbench (RWB). In addition, the artificial neural network (ANN) version has been developed to predict the PDF for the same shovel–dumper system and compared with the real acquired fee of RWB. It was found that the values of RMSC and R2 had been 5.96e?5 and 0.999 for PDF. The statistical effects showed that the proposed Reliability Isograph Workbench and PDF version correctly predicts PDF for the shovel–dumper system. © 2019, Springer Nature Switzerland AG.