Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Shapiro says Twitter-based employment index provides real-time accuracy

Xie says internet censorship in China often reflects local officials' concerns

Cheng finds marriage may not be best career option for women

Highlights

Jeff Morenoff makes Reuters' Highly Cited Researchers list for 2014

Susan Murphy named Distinguished University Professor

Sarah Burgard and former PSC trainee Jennifer Ailshire win ASA award for paper

James Jackson to be appointed to NSF's National Science Board

Next Brown Bag


PSC Brown Bags will return in the fall

Embedding Damage Detection Algorithms in a Wireless Sensing Unit for Operational Power Efficiency

Archived Abstract of Former PSC Researcher

Lynch, J.P., A. Sundararajan, K.H. Law, A.S. Kiremidjian, and E. Carryer. 2004. "Embedding Damage Detection Algorithms in a Wireless Sensing Unit for Operational Power Efficiency." Smart Materials & Structures, 13(4): 800-810.

A low-cost wireless sensing unit is designed and fabricated for deployment as the building block of wireless structural health monitoring systems. Finite operational lives of portable power supplies, such as batteries, necessitate optimization of the wireless sensing unit design to attain overall energy efficiency. This is in conflict with the need for wireless radios that have far-reaching communication ranges that require significant amounts of power. As a result, a penalty is incurred by transmitting raw time-history records using scarce system resources such as battery power and bandwidth. Alternatively, a computational core that can accommodate local processing of data is designed and implemented in the wireless sensing unit. The role of the computational core is to perform interrogation tasks of collected raw time-history data and to transmit via the wireless channel the analysis results rather than time-history records. To illustrate the ability of the computational core to execute such embedded engineering analyses, a two-tiered time-series damage detection algorithm is implemented as an example. Using a lumped-mass laboratory structure, local execution of the embedded damage detection method is shown to save energy by avoiding utilization of the wireless channel to transmit raw time-history data.

DOI:10.1088/0964-1726/13/4/018 (Full Text)

Browse | Search : All Pubs | Next