A maintenance system model for optimal reconfigurable vibrating screen management

Abstract

The reconfigurable vibrating screen (RVS) machine is an innovative beneficiation machine designed for screening different mineral particles of varying sizes and volumes required by the customers' through the geometric transformation of its screen structure. The successful RVS machine upkeep requires its continuous, availability, reliability and maintainability. The RVS machine downtime, which could erupt from its breakdown and repair, must also be reduced to the barest minimum. This means, there is a need to design and develop a maintenance system model that could be used to effectively maintain the RVS machine when utilized in surface and underground mines. In view of this, this paper aims to develop a maintenance system model that could be used to effectively maintain the RVS machine when used in surface and underground mines. The maintenance system model unfolds the predictive (i.e. diagnosis and prognosis) algorithms, the e-maintenance strategic tools as well as the dynamic maintenance strategic algorithms required to effectively maintain the RVS machine. Four different case studies were presented in this paper to illustrate the applicability of this maintenance system model in maintaining and managing the RVS machine when utilized in the mining industries.

Spring Failure Analysis of Mining Vibrating Screens: Numerical and Experimental Studies

“…Failure diagnosis requires accurate dynamic modeling and system identification [6]. In recent years, many studies have reported on the dynamic modeling [7][8][9][10], dynamic design [11][12][13][14], dynamic optimization [15][16][17][18][19][20], particle motion analysis [21][22][23][24], and spring failure diagnosis of vibrating screens [25][26][27][28][29].…”

A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems

“…To further confirm this assertion, a combination of two very popular risk assessments tools (fault tree analysis and reliability block diagram) was used to investigate one of the most recent power transformer bushing failures. Fault tree (FTA) [15,53,54,[65][66][67][68][69][70][71] and reliability block diagrams (RBD) [53,54,[72][73][74][75] are very illustrative performance evaluation tools that have been immensely used for investigating critical plant failures across a variety of industries within the last five decades.…”

“…Based on this premise and to foster practical knowledge transfer, a team-based FTA was employed at PLN. It is vital to note that besides visually representing the relationships between various causal factors of an FTA, it is also possible to estimate the probability of occurrence of the "unwanted" or "top event" using Equations (1) and (2) [53,54,[65][66][67][68][69][70][71]76];…”