An intelligent system for fault diagnostics in mining equipment

矿山设备故障智能诊断系统

• 批准号: 530913-2018
• 负责人: Wang, WilsonQuansheng
• 金额: $ 1.82万
• 依托单位: Lakehead University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=668145
• 关键词: intelligent; system; fault; diagnostics; mining

Mining equipment (e.g., conveyors, shovels, and excavators) is expensive to operate and to maintain.**Operational delays because of equipment failures are significant causes of lost production and reduced**productivity in the mining industry. The problem raised by GoldCorp Canada Ltd. is how to improve mining**equipment maintenance efficiency and reduce costs. Reliable fault diagnosis of mining equipment remains very**challenging task due to the complexity of equipment, harsh mining environments and time-varying machinery**operating conditions. The objective of this NSERC-Engage Grant project is to develop an intelligent system for**mining equipment condition monitoring and fault diagnostics. The related research and development (R&D)**focus on fault detection in rolling element bearings, which remains an open research topic in the field of**machinery fault detection. The purpose of this project is to recognize bearing defect at its earliest stage so as to**prevent machinery operation degradation and reduce unnecessary downtime in regular preventive maintenance.**Costs can be further reduced in repairs by quickly recognizing the faulty components without routinely**examining all of the involved components. Specific R&D topics include the development of a smart sensor**network for wireless data acquisition of vibration and temperature signals, a new signal processing technique**for bearing fault detection under time-varying operating conditions, and a new intelligent classifier for**real-time equipment fault diagnosis. The proposed intelligent monitoring technology and tool can detect**bearing defects not only in mining equipment, but also in general rotating machinery. It can also benefit the**related Canadian companies to gain a competitive advantage in the global market by improving production**quality and system reliability, and reducing costs.

采矿设备（例如，输送机、铲车和挖掘机）的操作和维护成本很高。**由于设备故障造成的业务延误是采矿业生产损失和生产率下降的重要原因。GoldCorp Canada Ltd.提出的问题是如何提高采矿 ** 设备维护效率，降低成本。由于采矿设备的复杂性、恶劣的采矿环境和时变的机械运行条件，可靠的故障诊断仍然是非常具有挑战性的任务。该NSERC-Engage赠款项目的目标是开发一种用于采矿设备状态监测和故障诊断的智能系统。滚动轴承的故障检测是机械故障检测领域的一个开放性研究课题，相关的研究和开发主要集中在滚动轴承的故障检测上。本项目的目的是在早期阶段识别轴承缺陷，以便 ** 防止机械运行退化，并在定期预防性维护中减少不必要的停机时间。**通过快速识别故障部件而无需常规检查所有相关部件，可以进一步降低维修成本。具体研发课题包括开发用于振动和温度信号无线数据采集的智能传感器网络、用于时变工况下轴承故障检测的新型信号处理技术以及用于实时设备故障诊断的新型智能分类器。提出的智能监测技术和工具不仅可以检测采矿设备中的轴承缺陷，而且可以检测一般旋转机械中的轴承缺陷。它还可以使 ** 相关的加拿大公司通过提高生产 ** 质量和系统可靠性，降低成本，在全球市场上获得竞争优势。