A sensor placement measure for impact detection in structural health monitoring

Author

Melkonyan, Arsen ; Akopian, David ; Chen, C. L Philip

Author_Institution

Electr. & Comput. Eng., Univ. of Texas at San Antonio, San Antonio, TX, USA

fYear

2009

fDate

11-14 Oct. 2009

Firstpage

3775

Lastpage

3778

Abstract

This paper studies the validity of horizontal dilution of precision (HDOP) measure to evaluate sensor network geometries when localizing impacts in structural health monitoring (SHM). First HDOP is defined similarly to navigation applications. Even though several low complexity closed-form solutions have been proposed recently, HDOP measure has been theoretically justified only for iterative least squares approach. The localization errors of popular impact localization methods are experimentally collected and compared with HDOP data for validation. The experimental setup is also described. It is shown that HDOP in general correlates with the positioning error and can be used to characterize geometry.

Keywords

condition monitoring; distributed sensors; impact (mechanical); iterative methods; least squares approximations; structural engineering; horizontal dilution of precision; impact detection; impact localization methods; iterative least squares; sensor network; sensor placement measure; structural health monitoring; Acoustic sensors; Computer vision; Computerized monitoring; Electric variables measurement; Geometry; Iterative methods; Least squares methods; Position measurement; Sensor systems; USA Councils; Acoustic position measurement; Acoustic radiators; Position measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on

Conference_Location

San Antonio, TX

ISSN

1062-922X

Print_ISBN

978-1-4244-2793-2

Electronic_ISBN

1062-922X

Type

conf

DOI

10.1109/ICSMC.2009.5346673

Filename

5346673