An intelligent condition-monitoring system for mineral screening machines

用于矿物筛选机的智能状态监测系统

• 批准号: LP220100389
• 负责人: A/Prof JC Ji
• 金额: $ 24.35万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP220100389
• 关键词: intelligent; condition; monitoring; system; mineral

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.

本计画旨在开发一种适用于采矿业中广泛使用的筛分机之智能状态监测系统。该项目将开发新的基于振动的方法和技术，用于在具有多个复杂源和干扰的情况下对轴承和齿轮进行故障诊断和剩余使用寿命预测。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，提高生产率并降低澳大利亚采矿业的维护成本。它还将为澳大利亚制造的产品增加更多的价值。