Remote health condition monitoring of water pump systems

水泵系统的远程健康状况监测

• 批准号: 537683-2018
• 负责人: Wang, WilsonQuansheng
• 金额: $ 3.64万
• 依托单位: Lakehead University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=720359
• 关键词: Remote; health; condition; monitoring; water

Water pumps are widely used in industries such as water supply, oil, chemistry, power generation, agriculture, and mining. Any pump element defect could result in pump performance degradation or unexpected shutdowns. The objective of this NSERC-CRD research, in collaboration with the Bare Point Water Treatment Plant in Thunder Bay, Ontario, is to develop new technologies and intelligent tools for remote pump station condition monitoring. It aims to improve operation reliability and reduce maintenance costs by preventing unnecessary machine downtimes. To achieve this goal, advanced research and development will be undertaken in multidisciplinary academic fields including machinery modeling, signal processing, artificial intelligence, machine learning, and mechatronics. Specifically, a new wireless smart sensor network will be developed for data acquisition in forms of such as vibration, electric current and temperature. New signal processing techniques will be proposed for fault detection in pump motors (bearings and rotors) and pump line shaft systems. Comprehensive assessment will be undertaken, experimentally and analytically, to evaluate the robustness of available motor fault detection techniques. A new intelligent classifier will be developed to integrate the strength of several robust fault detection techniques for fault diagnosis of motors and pumps. A smart monitoring platform and a cloud computing protocol will be developed for remote condition monitoring of pump stations. The contributions from this multidisciplinary research will enhance Canada's profile in the global academic community in the related fields. It is also foreseen that the developed technologies and tools can benefit wide array of Canadian industries (e.g., aircraft, nuclear reactors, chemical facilities) to avoid equipment damage, and prevent human injury and environment pollution. In addition, the proposed technologies and tools can be used in health science for human health diagnostics and prognostics.

水泵广泛用于供水，石油，化学，发电，农业和采矿等行业。任何泵元素缺陷都可能导致泵性能降解或意外关闭。这项NSERC-CRD研究的目的与安大略省桑德湾的Bare Point水处理厂合作，是为了开发新技术和智能工具，用于远程泵站状况监测。它旨在通过防止不必要的机器下降来提高操作可靠性并降低维护成本。为了实现这一目标，将在包括机械建模，信号处理，人工智能，机器学习和机电一体化的多学科学术领域进行高级研究和发展。具体而言，将开发出一种新的无线智能传感器网络，用于以振动，电流和温度等形式获取数据。将提出新的信号处理技术，用于泵电动机（轴承和转子）和泵线轴系统中的故障检测。将在实验和分析上进行全面的评估，以评估可用运动故障检测技术的鲁棒性。将开发一个新的智能分类器，以整合几种可靠的故障检测技术的强度，以诊断电动机和泵的故障诊断。将开发一个智能监视平台和云计算协议，用于远程调节泵站。这项多学科研究的贡献将增强加拿大在相关领域的全球学术界的形象。还可以预见到，开发的技术和工具可以使各种各样的加拿大工业（例如飞机，核反应堆，化学设施）受益，以避免设备损坏，并防止人体伤害和环境污染。此外，拟议的技术和工具可用于人类健康诊断和预后的健康科学。