An intelligent condition-monitoring system for mineral screening machines

该项目旨在开发一种智能状态监测系统，用于广泛应用于采矿行业的矿物颗粒分类的筛分机。该项目将开发新的基于振动的方法和技术，用于故障诊断和轴承和齿轮在多种复杂来源和干扰情况下的剩余使用寿命预测。作为该项目的预期成果，该监控系统将使当前的维护实践现代化，实现基于状态的预测性维护，减少计划外停机时间，提高生产力并降低澳大利亚采矿业的维护成本。这也将增加澳大利亚制成品的价值。

This project aims to develop an intelligent condition-monitoring system for screening machines which are widely used for classifying mineral particles in the mining industry. This project will develop new vibration-based methodologies and techniques for fault diagnostics and remaining useful life prediction of bearings and gears in situations with multiple complex sources and interferences. The monitoring system, as the expected outcomes of this project, will modernise the current maintenance practices towards condition-based predictive maintenance, reducing unplanned downtime, increasing productivity and reducing maintenance costs for the Australian mining industry. It will also add more value to the Australian manufactured products.