SST: Robust Wireless Piezoelectric Sensor Network for Structural Health Monitoring

SST：用于结构健康监测的强大无线压电传感器网络

• 批准号: 0427878
• 负责人: Yu Ding
• 金额: $ 15万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-01 至 2008-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0427878&HistoricalAwards=false
• 关键词: SST; Robust; Wireless; Piezoelectric; Sensor

Abstract0427878PI: Yu DingTexas Engineering Experiment StationThis project is one component of a 3-way collaborative sensors research program, between University of Connecticut (Grant 0428210), Columbia University (Grant 0427353) and Texas Engineering Experiment Station (Grant 0427878). The research is aimed at developing a wireless piezoelectric sensor network as well as the associated decision making algorithms with enhanced sensor system robustness, reliability, and detection sensitivity for structural health monitoring.To improve the detection sensitivity, a smart adaptive sensor node is designed to allow multi-resonance passive frequency response based detection and active damage interrogation. To enhance the network robustness, distributed data decoding, distributed interference avoidance, and robust routing strategies are investigated. To reduce false alarms, an adaptive statistical threshold is established and sensor self-diagnosis techniques are developed. A multidisciplinary team has been formed by researchers from Mechanical, Electrical, and Industrial Engineering fields from these three institutions to carry out the work. This project is expected to create an enabling technology for next-generation large-structure health monitoring and thus have strategic importance to a series of industrial/military systems. The technology could substantially reduce system downtime and service workload. This research will provide multidisciplinary training for all participating students. Research accomplishments will be implemented into undergraduate/graduate curricula and also enhance laboratory developments in all partner universities.This is a project supported under Sensors Initiative NSF 04-522.

Abstract0427878PI：Yu Dingtexas工程实验站，该项目是康涅狄格大学（Grant 0428210），哥伦比亚大学（授予0427353）（授予0427353）和德克萨斯工程实验站（Grant 0427878）之间的3道协作传感器研究计划的一个组成部分。这项研究旨在开发无线压电传感器网络以及相关的决策制定算法，具有增强的传感器系统鲁棒性，可靠性和用于结构健康监测的检测敏感性。为了提高检测敏感性，智能自适应传感器节点旨在允许多用分，可允许多用度频率频率响应基于基于频率的检测和主动损害。为了增强网络的鲁棒性，分布式数据解码，避免分布式干扰以及可靠的路由策略。 为了减少虚假警报，建立了自适应统计阈值，并开发了传感器自我诊断技术。由这三个机构的机械，电气和工业工程领域的研究人员组成了一个多学科团队，以执行这项工作。预计该项目将为下一代大结构健康监测创造一种有利的技术，因此对一系列工业/军事系统具有战略意义。 该技术可以大大减少系统的停机时间和服务工作量。这项研究将为所有参与学生提供多学科培训。 研究成就将在本科/研究生课程中实施，并增强所有合作伙伴大学的实验室发展。该项目是在传感器计划下支持NSF 04-522的项目。