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Proceedings Paper

Investigation of data quality in a wireless sensing unit composed of off-the-shelf components
Author(s): Jin-Song Pei; Chetan Kapoor; Troy L. Graves-Abe; Yohanes P. Sugeng; Nadim Ferzli; Jerome P. Lynch
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Paper Abstract

This paper presents the preliminary findings of a study on data and system identification results (derived from collected data) in a wireless sensing environment. The goal of this study is to understand how various hardware design choices and operational conditions affect the quality of the data and accuracy of the identified results; the focus of this paper is packet and data loss. A series of experimental investigations are carried out using a laboratory shaking table instrumented with off-the-shelf Micro-Electro-Mechanical Systems (MEMS) accelerometers. A wireless sensing unit is developed to interface with these wired analog accelerometers to enable wireless data transmission. To reduce the overall design variance and aid convenient application in civil infrastructure health monitoring, this wireless unit is built with off-the-shelf microcontroller and radio development boards. The anti-aliasing filter and analog-to-digital convectors (ADC) are the only customized components in the hardware. By varying critical hardware configurations, including using analog accelerometers of different commercial brands, taking various designs for the anti-aliasing filter, and adopting ADCs with different resolutions, shaking table tests are repeated, the collected data are processed, and the results are compared. Operational conditions such as sampling rate and wireless data transmitting range are also altered separately in the repeated testing. In all of the cases tested, data is also collected using a wire-based data acquisition system to serve as a performance baseline for evaluation of the wireless data transmission performance. Based on this study, the challenges in the hardware design of wireless sensing units and data processing are identified.

Paper Details

Date Published: 9 May 2005
PDF: 11 pages
Proc. SPIE 5768, Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems IV, (9 May 2005); doi: 10.1117/12.600330
Show Author Affiliations
Jin-Song Pei, Univ. of Oklahoma (United States)
Chetan Kapoor, Univ. of Oklahoma (United States)
Troy L. Graves-Abe, Princeton Univ. (United States)
Yohanes P. Sugeng, Univ. of Oklahoma (United States)
Nadim Ferzli, Univ. of Oklahoma (United States)
Jerome P. Lynch, Univ. of Michigan/Ann Arbor (United States)


Published in SPIE Proceedings Vol. 5768:
Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems IV
Tribikram Kundu, Editor(s)

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