SBIR Phase I: A Novel Solution for Sensor Degradation Detection in Information Technology Systems

SBIR 第一阶段：信息技术系统中传感器退化检测的新颖解决方案

• 批准号: 0712293
• 负责人: Adam Langdon
• 金额: --
• 依托单位: EDAptive Computing, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-01 至 2008-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0712293&HistoricalAwards=false
• 关键词: SBIR; Phase; Novel; Solution; Sensor

This Small Business Innovation Research (SBIR) Phase I research project focuses on techniques to enhance the reliability and performance of sensor networks. Incipient sensor degradation can lead to inaccurate diagnostic results and ineffective control actions in an Information Technology (IT) system. This research proposes to establish the feasibility whether sensor degradation algorithms using analytical redundancy approach, can be integrated with model-based monitoring methodologies. Specifically, the proposed research will be based on the following techniques: 1) detecting sensor degradation in a monitored system; and 2) model-based system monitoring, diagnosis and prognosis. This project will impact the maximizing of the life of sensor-based device and applications, thus providing better maintenance support through the diagnosis of sensor failures. Specifically, the proposed integrated software will fill the gap between many existing distributed sensor networks within IT infrastructure and machine level operations. The work will provide a solution to significantly enhance information technology infrastructures by adaptively detecting system fault and sensor degradation.

这个小企业创新研究（SBIR）第一阶段的研究项目侧重于技术，以提高传感器网络的可靠性和性能。早期的传感器退化可能导致信息技术（IT）系统中的不准确的诊断结果和无效的控制动作。本研究提出建立是否传感器退化算法的可行性，使用解析冗余的方法，可以与基于模型的监测方法相结合。具体而言，拟议的研究将基于以下技术：1）检测监测系统中的传感器退化; 2）基于模型的系统监测，诊断和预测。该项目将影响基于传感器的设备和应用的寿命最大化，从而通过传感器故障诊断提供更好的维护支持。具体而言，拟议的集成软件将填补IT基础设施和机器级操作中许多现有分布式传感器网络之间的差距。这项工作将提供一个解决方案，显着提高信息技术基础设施，自适应检测系统故障和传感器退化。