Residual lifetime estimation for the mining truck tires

Abstract

Reliability analysis has a very important role in supporting the operation of a system in harsh working conditions such as mines. Haul trucks are considering as a main asset of an open pit mine. Dump trucks are comprised of different sub-systems and among them, tires have a significant effect on the haulage economy. This study focused on the remaining life estimation of the mining truck tires considering the environmental operating conditions at an open pit iron ore mine in Iran. To achieve this, the proportional hazard model was used to estimate the conditional reliability functions and then the mean residual life of tires at the various initial survival times. The results of this study show that the ambient temperature has a significant effect on the reliability performance. By increasing the initial life of tires from 500 to 1000 h, the mean residual life will be decreased by 21% and 30% in low (below 15°C) and high (above 15°C) ambient temperature levels. These results are helpful to keep the truck tire performance at a desirable level by considering the appropriate preventive maintenance intervals.

Bayesian network approach for reliability analysis of mining trucks

“…After the blasting operation, broken rocks are transported to crushers by Komatsu dump trucks with 65-tonne capacity and Caterpillar dump trucks with 100-tonne capacity. Currently, 28 dump trucks with 65-tonne capacity and 20 trucks with 100-tonne capacity are working three shifts per day 2 .…”

“…In open pit mines, truck-shovel, belt conveyors, semi-mobile, and mobile crushers are different systems used to transport the broken ore from the working face of a mine to the dumping area. Among these, the truck-and-shovel system is an economical, flexible, and efficient system known as a conventional loading and hauling system 2 . Having more efficient and safe transportation systems leads to operating mines with the lowest operational cost.…”

“…Nowadays, several methods such as fault tree analysis, reliability block diagram, reliability graph, and Markov chain have been developed for equipment fault detection and reliability analysis. Most of the research has been conducted on the failure behavior and reliability of mining equipment and vehicles at different mining operations, including drilling equipment 6 , loaders 7 , 8 , dragline 9 , and haulage vehicles such as dump trucks 2 and rolling stocks 10 .…”

“…It was also stated that the electronic devices and motor parts working in the high-pressure environment were the leading failure causes of diesel motors. Rahimdel 2 estimated the residual lifetime of mining truck tires by considering the environmental and operating conditions, including truck axle, working shift, weather conditions, and temperature. The proportional hazard model is used to estimate the remaining useful life of tires for trucks with 100-tonne capacity in an open pit iron ore mine in Iran.…”

Reliability, Maintainability, and Availability of Mining Drilling Equipment

“…It is therefore imperative to assess the reliability of these machines and to calculate the likelihood of their continuous operation without failures. In recent times, the reliability analysis of various types of mining equipment, including mining trucks [1,2], Load-Haul-Dump (LHD) units [3,4], shovels [5,6], draglines [7,8], and drilling machines [9,10], has been extensively explored.…”