Publication Date

12-2021

Date of Final Oral Examination (Defense)

11-4-2021

Type of Culminating Activity

Thesis

Degree Title

Master of Science in Electrical and Computer Engineering

Department

Electrical and Computer Engineering

Supervisory Committee Chair

Benjamin C. Johnson, Ph.D.

Supervisory Committee Member

Kurtis D. Cantley, Ph.D.

Supervisory Committee Member

Zhangxian Deng, Ph.D.

Supervisory Committee Member

Maria Mitkova, Ph.D.

Abstract

Structural health monitoring of soft structural textiles plays a key role within the space industry to ensure the safety and integrity of space habitats, parachutes, and decelerator systems. Strain monitoring could be an effective means to evaluate structural integrity, but conventional monitoring systems are not suitable because they are intended for large, rigid structures. To overcome the limitations of rigid sensors, we recently proposed using printed capacitive strain gauges (CSGs) on flexible substrates to monitor the structural health of soft structure materials. Here, we present a strategy and implementation of a wireless, multi-channel readout system for distributed monitoring of soft structural textiles with printed CSGs. The system is comprised of localized sensor motes and a wireless Bluetooth hub. The sensor mote employs a relaxation oscillator frontend to convert capacitance to frequency with a high dynamic range using only three interface wires per mote. The mote’s high dynamic range ensures compatibility with various gauge designs and accommodates significant process variation associated with printed gauges. Each hub enables users to read 8 channels of data wirelessly at a sampling rate of 100Hz and can be scaled to higher channel counts through the use of additional hubs. The sensor motes and wireless hub are miniaturized to accommodate flexible substrates, such as a Kevlar strap. The system is tested and exhibits excellent linearity and dynamic range.

DOI

https://doi.org/10.18122/td/1890/boisestate

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