Remote health condition monitoring of water pump systems

水泵广泛应用于供水、石油、化学、发电、农业和采矿等行业。任何泵元件缺陷都可能导致泵性能下降或意外停机。这项NSERC-CRD研究的目标是与安大略省桑德湾的Bare Point水处理厂合作，开发用于远程泵站状态监测的新技术和智能工具。它旨在通过防止不必要的机器停机来提高运行可靠性并降低维护成本。为了实现这一目标，将在多学科学术领域进行先进的研究和开发，包括机械建模，信号处理，人工智能，机器学习和机电一体化。具体而言，将开发一种新的无线智能传感器网络，用于采集振动、电流和温度等形式的数据。新的信号处理技术将被提出用于泵电机（轴承和转子）和泵轴系统的故障检测。综合评估将进行，实验和分析，以评估可用的电机故障检测技术的鲁棒性。一种新的智能分类器将集成多种鲁棒故障检测技术的优势，用于电机和泵的故障诊断。开发智能监测平台和云计算协议，实现泵站远程状态监测。这项多学科研究的贡献将提高加拿大在相关领域的全球学术界的形象。还可以预见，开发的技术和工具可以使加拿大工业（例如飞机、核反应堆、化学设施）广泛受益，以避免设备损坏，防止人身伤害和环境污染。此外，拟议的技术和工具可用于健康科学，用于人类健康诊断和预测。

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.