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Proceedings Paper

Adaptive sensor array algorithm for structural health monitoring of helmet
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Paper Abstract

The adaptive neural network is a standard technique used in nonlinear system estimation and learning applications for dynamic models. In this paper, we introduced an adaptive sensor fusion algorithm for a helmet structure health monitoring system. The helmet structure health monitoring system is used to study the effects of ballistic/blast events on the helmet and human skull. Installed inside the helmet system, there is an optical fiber pressure sensors array. After implementing the adaptive estimation algorithm into helmet system, a dynamic model for the sensor array has been developed. The dynamic response characteristics of the sensor network are estimated from the pressure data by applying an adaptive control algorithm using artificial neural network. With the estimated parameters and position data from the dynamic model, the pressure distribution of the whole helmet can be calculated following the Bazier Surface interpolation method. The distribution pattern inside the helmet will be very helpful for improving helmet design to provide better protection to soldiers from head injuries.

Paper Details

Date Published: 1 April 2011
PDF: 6 pages
Proc. SPIE 7984, Health Monitoring of Structural and Biological Systems 2011, 79841A (1 April 2011); doi: 10.1117/12.880509
Show Author Affiliations
Xiaotian Zou, Univ. of Massachusetts Lowell (United States)
Ye Tian, Univ. of Massachusetts Lowell (United States)
Nan Wu, Univ. of Massachusetts Lowell (United States)
Kai Sun, Univ. of Massachusetts Lowell (United States)
Xingwei Wang, Univ. of Massachusetts Lowell (United States)


Published in SPIE Proceedings Vol. 7984:
Health Monitoring of Structural and Biological Systems 2011
Tribikram Kundu, Editor(s)

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