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: 0428210
• 负责人: Jiong Tang
• 金额: --
• 依托单位: University of Connecticut
• 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 2009-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0428210&HistoricalAwards=false
• 关键词: SST; Robust; Wireless; Piezoelectric; Sensor

Abstract0428210PI: Jiong TangUniversity of ConnecticutThis 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.

摘要0428210PI：Jiong Tang 康涅狄格大学该项目是康涅狄格大学（拨款0428210）、哥伦比亚大学（拨款0427353）和德克萨斯工程实验站（拨款0427878）之间三向协作传感器研究计划的组成部分。该研究旨在开发无线压电传感器网络以及相关决策算法，增强传感器系统的鲁棒性、可靠性和检测灵敏度，用于结构健康监测。为了提高检测灵敏度，设计了智能自适应传感器节点，以实现基于多谐振无源频率响应的检测和主动损伤询问。为了增强网络的鲁棒性，研究了分布式数据解码、分布式干扰避免和鲁棒路由策略。 为了减少误报，建立了自适应统计阈值并开发了传感器自诊断技术。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来开展这项工作。该项目预计将为下一代大型结构健康监测创建一种使能技术，从而对一系列工业/军事系统具有战略重要性。 该技术可以大大减少系统停机时间和服务工作量。这项研究将为所有参与的学生提供多学科培训。 研究成果将纳入本科/研究生课程，并加强所有合作大学的实验室发展。这是传感器倡议 NSF 04-522 支持的项目。