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.

本项目是美国康涅狄格大学（0428210）、哥伦比亚大学（0427353）和得克萨斯工程实验站（0427878）三方合作传感器研究计划的一个组成部分。为提高结构健康监测的灵敏度，设计了一种智能自适应传感器节点，实现了基于多谐振被动频率响应的结构损伤检测和主动损伤询问，并开发了一种无线压电传感器网络及其相关的决策算法。为了提高网络的鲁棒性，分布式数据解码，分布式干扰避免和鲁棒路由策略进行了研究。 为了减少虚警，建立了自适应统计阈值，并开发了传感器自诊断技术。一个多学科的团队已经形成了从机械，电气和工业工程领域的研究人员从这三个机构开展工作。该项目有望为下一代大型结构健康监测创造一种使能技术，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生/研究生课程，并加强所有合作大学的实验室发展。这是一个由传感器倡议NSF 04-522支持的项目。