Evolution of the Probability Distribution Function of Shovel – Dumper Combination in Opencast Coal Mine Using ANN and RWB

Abstract

This article presents a new analytic calculation for the shovel – dumper combination in opencast coal mine evolution of the one and two galaxy probability distribution function (PDF). To develop a nonparametric PDF for a combination of shovel and dumper in a opencast coal mine, the historical breakdown data such as time between failure (TBF) of a shovel and dumpers were collected from the mine. Based on the collected TBF, Weibull parameters such as the shape parameter (β), scale parameter (η) and location parameter (γ) were calculated under the K-S test (Kolmogorov–Smirnov test). A Weibull distribution model has been developed to obtain the one and two galaxy probability distribution function (PDF) for a collected failure data of shovel-dumper system using Reliability Isograph Workbench (RWB). Also, Artificial Neural Network (ANN) model has been developed to predict the PDF for the same shovel-dumper system and compared with the actual obtained value of Reliability Isograph Workbench (RWB). It was found that the values of RMSE and R2 were 0.00068 & 0.9465 for PDF. The statistical results showed that the proposed Reliability Isograph Workbench and ANN model successfully predicts PDF for the shovel-dumper system.