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Proceedings Paper

A novel real-time health monitoring system for unmanned vehicles
Author(s): David C. Zhang; Lien Ouyang; Peter Qing; Irene Li
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Paper Abstract

Real-time monitoring the status of in-service structures such as unmanned vehicles can provide invaluable information to detect the damages to the structures on time. The unmanned vehicles can be maintained and repaired in time if such damages are found. One typical cause of damages of unmanned vehicles is from impacts caused by bumping into some obstacles or being hit by some objects such as hostile fire. This paper introduces a novel impact event sensing system that can detect the location of the impact events and the force-time history of the impact events. The system consists of the Piezo-electric sensor network, the hardware platform and the analysis software. The new customized battery-powered impact event sensing system supports up to 64-channel parallel data acquisition. It features an innovative low-power hardware trigger circuit that monitors 64 channels simultaneously. The system is in the sleep mode most of the time. When an impact event happens, the system will wake up in micro-seconds and detect the impact location and corresponding force-time history. The system can be combined with the SMART sensing system to further evaluate the impact damage severity.

Paper Details

Date Published: 22 April 2008
PDF: 11 pages
Proc. SPIE 6962, Unmanned Systems Technology X, 696217 (22 April 2008); doi: 10.1117/12.777888
Show Author Affiliations
David C. Zhang, Acellent Technologies, Inc. (United States)
Lien Ouyang, Acellent Technologies, Inc. (United States)
Peter Qing, Acellent Technologies, Inc. (United States)
Irene Li, Acellent Technologies, Inc. (United States)


Published in SPIE Proceedings Vol. 6962:
Unmanned Systems Technology X
Grant R. Gerhart; Douglas W. Gage; Charles M. Shoemaker, Editor(s)

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