Paper
31 March 2010 SHMTools: a new embeddable software package for SHM applications
Eric B. Flynn, Samory Kpotufe, Dustin Harvey, Eloi Figueiredo, Stuart Taylor, Denis Dondi, Todor Mollov, Michal D. Todd, Tajana Simunic Rosing, Gyuhae Park, Charles Farrar
Author Affiliations +
Abstract
This paper describes a new software package, SHMTools, for prototyping algorithms for various structural health monitoring (SHM) applications. The software includes a set of standardized MATLAB routines covering three main stages of SHM: data acquisition, feature extraction, and feature classification for damage identification. A subset of the software in SHMTools is embeddable, which consists of Matlab functions that can be cross-compiled into generic "C" programs to be run on a target hardware. The software is designed to accommodate multiple sensing modalities, including piezoelectric active-sensing, which have become widely used in SHM practice. The software package, standardized datasets, and detailed documentation are publicly available for use by the SHM community. The details of this software will be discussed, along with several example processes to demonstrate its utility.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eric B. Flynn, Samory Kpotufe, Dustin Harvey, Eloi Figueiredo, Stuart Taylor, Denis Dondi, Todor Mollov, Michal D. Todd, Tajana Simunic Rosing, Gyuhae Park, and Charles Farrar "SHMTools: a new embeddable software package for SHM applications", Proc. SPIE 7647, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2010, 764717 (31 March 2010); https://doi.org/10.1117/12.848234
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Structural health monitoring

Feature extraction

MATLAB

Data acquisition

Sensors

Data modeling

Autoregressive models

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