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

这项小型企业创新研究(SBIR)第一阶段研究项目侧重于提高传感器网络可靠性和性能的技术。在信息技术(IT)系统中，传感器早期退化可能会导致不准确的诊断结果和无效的控制操作。本研究建议建立基于解析冗余方法的传感器退化算法是否可以与基于模型的监测方法相结合的可行性。具体地说，拟议的研究将基于以下技术：1)检测被监测系统中的传感器退化；以及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程序寿命的最大化，从而通过诊断传感器故障提供更好的维护支持。具体地说，拟议的集成软件将填补IT基础设施中许多现有分布式传感器网络与机器级操作之间的空白。这项工作将提供一种解决办法，通过自适应地检测系统故障和传感器退化，大大加强信息技术基础设施。

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.