Prediction of breakdown hours of load haul dumper by long short term memory network

Abstract

The profitability and feasibility of a system depends on the optimisation of the work of the subsystem as a unit. Here, the breakdown hours of an LHD machine is predicted by modelling a time series on a Neural Network. By accurately predicting the breakdown hours one can plan for efficient mining operations, maintenance and parts supply chain for replacements.

Meta-Analysis and Forest Plots for Sustainability of Heavy Load Carrier Equipment Used in the Industrial Mining Environment

“…In this paper, the first attempt has been made to use meta-analysis and Forest plot on industrial equipment failure data. The novelty of this work lies in the fact that it addresses an industrial issue of the nonavailability of a representative number of failure data for reliability analysis [25][26][27].…”

“…A reliability analysis of engine subsystems is essential in the formulation of maintenance strategies, which will decrease the downtime of an engine and increase its availability. A main obstacle was the deficiency of adequate data for the appropriate statistical analyses [23][24][25][26][27][28][29][30]. The present study gives specific guidelines for using the metaanalysis test, which will solve the problem related to small-size failure data.…”

“…A review of the literature shows that the reliability studies conducted so far have used a small amount of failure data [19][20][21][22][23][24][25][26][27][28]. The methods used for reliability analyses of small-size data mostly make use of the Bayesian approach, the FMECA, and the Monte Carlo method.…”

Statistical Reliability Assessment for Small Sample of Failure Data of Dumper Diesel Engines Based on Power Law Process and Maximum Likelihood Estimation

“…The TBF data have been collected for dumper engine subsystems of three engines of three years duration are used to have pictorial representation in the form of the pie chart [27][28][29]. To increase the number of TBF data, the TBF data of three same types of engines for each subsystem are grouped together.…”

“…S. Darmanto et al [22] analyzed the reliability of diesel engines as a driver for the fire water pump. The researchers have determined reliability and the rate of failure of the diesel engine [22][23][24][25][26][27][28].…”