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）的操作和维护费用昂贵。**由于设备故障而导致的操作延误是采矿业生产损失和生产率降低的重要原因。 GoldCorp Canada Ltd.提出的问题是如何提高采矿**设备维护效率并降低成本。由于设备的复杂性、采矿环境的恶劣以及机械运行条件的时变性，采矿设备的可靠故障诊断仍然是非常具有挑战性的任务。 NSERC-Engage Grant 项目的目标是开发用于**采矿设备状态监测和故障诊断的智能系统。相关研发（R&D）**重点关注滚动轴承的故障检测，这在**机械故障检测领域仍然是一个开放的研究课题。该项目的目的是尽早识别轴承缺陷，以**防止机械运行性能下降，并减少定期预防性维护中不必要的停机时间。**通过快速识别故障部件，无需定期**检查所有相关部件，可以进一步降低维修成本。具体研发主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、用于时变操作条件下轴承故障检测的新信号处理技术**以及用于**实时设备故障诊断的新型智能分类器。所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，还可以检测通用旋转机械中的轴承缺陷。它还可以使加拿大相关公司通过提高生产质量和系统可靠性以及降低成本来获得全球市场的竞争优势。