SBIR Phase I: Proposal for Research into Low-Cost Distributed Wireless Sensing of Operational Condition in Industrial Electric Motors

SBIR第一阶段的研究提案建议研究开发一种用于无线监控电机的超紧凑、低成本系统，制造商实施该系统的成本低于300美元/电机。这项研究将利用现有的正在申请专利的节能算法，根据振动和温度数据确定电机状况，以开发能够自主确定任何电机状况的无线节点。这项研究将产生一个在工业合作伙伴处实施的无线节点原型系统，这将为公司和技术的未来投资提供必要的激励。这项研究的更广泛影响将是使无线系统能够促进工业设施中电动机的基于状态的维护，制造商的每台电动机的成本低于300美元，这大约是当前系统成本的10%。在这个价格点上，美国各地成千上万的设施将能够负担得起对其电机系统实施基于状态的维护的初始投资。由于基于状态的维护已被证明可以最大化正常运行时间并最小化年度维护成本，这将提高美国制造业的竞争力，最终有助于创造更多的制造业就业机会。此外，阿萨研究结果的原型系统将为低成本，低功耗的无线传感器节点提供重要的概念验证，这将有助于刺激该领域的未来发展和投资，这反过来又有助于“智能电网”，“智能城市”和其他智能基础设施的发展。

This SBIR Phase I research proposal proposes research to develop an ultra-compact, low costsystem for wirelessly monitoring motors that will cost manufacturers less than $300/ motorto implement. The research will leverage existing patent-pending energy-efficientalgorithms for determining motor condition based on vibration and temperature data to developwireless nodes capable of autonomously determining the condition of any motor to which theyare attached. The research will result in a prototype system of wireless nodes implementedat an industrial partner, which will provide the necessary incentive for future investmentin the company and technology.The broader impact of this research will be to enable a wireless system to facilitatecondition-based maintenance of electric motors in industrial facilities at a cost of lessthan $300 per motor to manufacturers, which is about 10% of the cost of current systems.At this price point, tens of thousands of facilities around the United States will be ableto afford the initial investment to implement condition-based maintenance on their motor systems.Since condition-based maintenance has been shown to maximize up-time and minimize yearly maintenancecosts, this will increase the competitiveness of American manufacturing and ultimatelyhelp create more manufacturing sector jobs. Additionally, the prototype system produced asa result of the research will provide an important proof-of-concept for low-cost, low-powerwireless sensor nodes that should help spur future development and investment in this field,which is in turn instrumental for the development of "smart grids", "smart cities", and otherintelligent infrastructure.